Codebook GOCD2

source("0_helpers.R")
knitr::opts_chunk$set(warning = FALSE, message = FALSE)

load("data/cleaned.rdata")

knitr::opts_chunk$set(echo = FALSE, error = TRUE, dev = "CairoPNG",
                      cache = FALSE)
library(ggplot2)
theme_set(theme_bw())

library(codebook)

attributes(s3_daily$grooming_broad)$scale_item_names <- NULL
s3_daily <- s3_daily %>% filter(!is.na(session), !is.na(created))
# s3_daily <- s3_daily %>% select(-!!names(lab))
s3_daily <- s3_daily %>% ungroup()
s3_daily$sleep_fell_asleep_time <- as.numeric(s3_daily$sleep_fell_asleep_time)
s3_daily$sleep_awoke_time <- as.numeric(s3_daily$sleep_awoke_time)
s3_daily$DAL <- as.numeric(s3_daily$DAL)
s3_daily$window_length <- as.numeric(s3_daily$window_length)
attributes(s3_daily$menstruation_imputed)$names <- NULL
attributes(s3_daily$menstruation)$names <- NULL
vars <- c("session", "short", "created_date", setdiff(names(s3_daily), names(lab)))
s3_daily <- s3_daily[, vars]

library(future)
if (file.exists("codings/reliabilities_new.rdata")) {
  load("codings/reliabilities_new.rdata")
  } else {
    library(future.batchtools)
  # plan(tweak(multicore, workers = 3))
  login <- tweak(remote, workers = "arslan@arc-lin-cpt10.mpib-berlin.mpg.de") # Your username goes before the @
  plan(list(login, tweak(multicore, workers = 10))) # this tells the future package that we want to use a remote server for running our future operations
  
  # login <- tweak(remote, workers = "arslan@tardis.mpib-berlin.mpg.de")
  # qsub <- tweak(batchtools_torque, template = 'torque-lido.tmpl', 
  #             # workers = "export LSF_ENVDIR=/opt/lsf/conf",
  #                 resources = list(job.name = 'multilevel_reliability',
  #                                 queue = 'default',
  #                                 walltime = "5:0:0",
  #                                 memory = 32, #gb
  #                                 ncpus = 1))
  # ## Specify future topology
  # ## login node -> { cluster node (compile brms model) } -> { run chains on multiple cores }
  # plan(list(
  #   login,
  #   qsub
  # ))
  
  reliabilities = future::value(future({
      reliabilities_diary <- codebook::compute_reliabilities(s3_daily, 'repeated_many')
      reliabilities_s2_initial <- codebook::compute_reliabilities(s2_initial)
      reliabilities_s4_followup <- codebook::compute_reliabilities(s4_followup)
      reliabilities <- list(
        diary = reliabilities_diary,
        s2_initial = reliabilities_s2_initial,
        s4_followup = reliabilities_s4_followup
      )
      save(reliabilities, file = "codings/reliabilities_new.rdata")
      reliabilities
  }))
  save(reliabilities, file = "codings/reliabilities_new.rdata")
}

plan(multicore)

Demographics

Participants filled out these surveys before being invited to the daily diary. After finishing them, they were invited to fill out the diary on the next day.

Metadata

Description

Dataset name: s1_demo

The dataset has N=1660 rows and 114 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session created modified ended expired info_study lab_code age gender gender_other education_years education_level education_level_special occupational_status occupation net_income study_major postal_code religion religiosity sex_orientation sex_orientation_special relationship_status relationship_count relationship_details duration_relationship_years duration_relationship_month partner_gender partner_gender_other age_partner abode_with_partner abode_flat_share abode_flat_share_description abode_alone abode_special_case_description long_distance_relationship distance_partner days_same_place_partner_monthly days_with_partner nights_with_partner has_children nr_children partner_father family_description_optional pregnant breast_feeding pregnant_stress pregnant_trying wish_for_children contraception_at_all contraception_other_reasons_not_to contraception_method contraception_method_other contraception_combi contraception_method_combination_other contraception_calendar_abstinence contraception_hormonal_pill other_pill_name contraception_hormonal_other contraception_hormonal_other_name contraception_pill_estrogen contraception_pill_gestagen_type contraception_pill_gestagen contraception_other_estrogen contraception_other_gestagen_type contraception_other_gestagen contraception_app contraception_app_name hormonal_contraception_last3m contraception_meeting_partner self_rated_health height weight hormonal_med hormonal_med_name psychoactive_med psychoactive_med_name alcohol_weekly cigarettes_daily sport_weekly sport_kinds meat_eating menarche menarche_certainty number_sexual_partner number_sexual_partner_certainty first_time first_time_certainty mother_menopause_yes mother_menopause_age mother_menopause_certainty menopause_yes menopause_age menopause_certainty menstruation_regular menstruation_last menstruation_last_certainty menstruation_length menstruation_length_certainty menstruation_regularity menstruation_regularity_certainty free_not_covered hetero_relationship short ended_date contraception_other_pill_estrogen contraception_other_pill_gestagen contraception_other_pill_gestagen_type hormonal_contraception contraception_method_broad contraception_hormonal_pill_estrogen contraception_hormonal_pill_gestagen_type estrogen_progestogen living_situation

Survey overview

1607 completed rows, 1651 who entered any information, 9 only viewed the first page. There are 9 expired rows (people who did not finish filling out in the requested time frame). In total, there are 1660 rows including unfinished and expired rows.

There were 1660 unique participants, of which 1607 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2016-05-02 17:00:26, the last session on 2017-01-13 13:20:58.

Starting date times

People took on average 1702.97 minutes (median 11.07) to answer the survey.

Duration people took for answering the survey

#Variables

info_study

How did this study come to your attention?

Distribution

Distribution of values for info_study

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
info_study	How did this study come to your attention?	haven_labelled	21	0.9873	13	0	4	NA	43	0	6

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4
5	5
6	6

lab_code

Are you also taking part in our laboratory study Attraktivitätsbeurteilungen in Göttingen and have received a code for this study? If you have, please enter your personalized code here. If you haven’t you can leave it blank.

Distribution

Distribution of values for lab_code

1453 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
lab_code	Are you also taking part in our laboratory study Attraktivitätsbeurteilungen in Göttingen and have received a code for this study? If you have, please enter your personalized code here. If you haven’t you can leave it blank.	text	character	1			3	1453	0.1247	162	0	2	15	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	lab_code	Nehmen Sie auch an unserer Laborstudie Attraktivitätsbeurteilungen in Göttingen teil und haben einen Code für diese Studie erhalten? Wenn ja, geben Sie bitte hier unbedingt Ihren persönlichen Code ein. Wenn nein, lassen Sie dieses Feld einfach aus.	1			3

Value labels

Response choices

name	value

age

Your age

Distribution

Distribution of values for age

21 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	18,120,1	age	Ihr Alter	0			4

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

gender

Your sex

Distribution

Distribution of values for gender

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
gender	Your sex	haven_labelled	21	0.9873	1	1	2	1.002	0.0428	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
female	1
anderes	2
Item was never rendered for this user.	NA

gender_other

Other:

Distribution

Distribution of values for gender_other

1658 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
gender_other	Other:	text	character	1	gender == 2		6	1658	0.0012	2	0	8	49	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	gender_other	anderes:	1	gender == 2		6

Value labels

Response choices

name	value

education_years

How many years of education have you had? (High school, studies at a university or community college, NOT training school)

Distribution

Distribution of values for education_years

21 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,26,1	education_years	Wie viele Bildungsjahre (Schule, Studium an Universität oder FH, Jahre als Doktorand/in, NICHT Berufsschule etc.) haben Sie hinter sich?	0			7

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

education_level

What is the highest degree you’ve earned?

Distribution

Distribution of values for education_level

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
education_level	What is the highest degree you’ve earned?	haven_labelled	21	0.9873	13	0	8	NA	29	0	13

Value labels

Response choices

name	value
1	0_not_finished
2	1_hauptschule
3	2_realschule
4	3_polytechnic
5	4_professional_school
6	5_fachabitur
7	6_abitur
8	7_vocational_uni_bachelor
9	8_uni_bachelor
10	9_vocational_uni_master_level
11	10_uni_master_level
12	11_uni_doctorate
13	12_uni_habilitation

education_level_special

Do you have a degree that doesn’t fit into one of these categories? If this is the case you can write your degree in here.

Distribution

Distribution of values for education_level_special

1562 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
education_level_special	Do you have a degree that doesn’t fit into one of these categories? If this is the case you can write your degree in here.	textarea	character	1			9	1562	0.059	89	0	1	137	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	education_level_special	Haben Sie einen Bildungsgrad, der sich hier nicht gut einsortieren lässt (bspw. Meister)? Wenn die obige Liste nicht ausreicht, können Sie das hier frei ergänzen.	1			9

Value labels

Response choices

name	value

occupational_status

What professional status do you have right now?

Distribution

Distribution of values for occupational_status

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
occupational_status	What professional status do you have right now?	haven_labelled	21	0.9873	25	0	5	NA	36	0	7

Value labels

Response choices

name	value
1	not_working
2	pupil
3	trainee
4	student
5	homemaker
6	employed
7	intern

occupation

What profession do you practice?

Distribution

Distribution of values for occupation

1187 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
occupation	What profession do you practice?	textarea	character	0	occupational_status %contains% “employed”		11	1187	0.2849	384	0	1	282	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	occupation	Welchen Beruf üben Sie aus?	0	occupational_status %contains% “employed”		11

Value labels

Response choices

name	value

net_income

How much money do you have at your disposition each month (net)?

Distribution

Distribution of values for net_income

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
net_income	How much money do you have at your disposition each month (net)?	haven_labelled	21	0.9873	6	0	9	NA	14	0	6

Value labels

Response choices

name	value
1	euro_lt_500
2	euro_500_1000
3	euro_1000_2000
4	euro_2000_3000
5	euro_gt_3000
6	dont_tell

study_major

What are you currently studying or what did you study?

Distribution

Distribution of values for study_major

232 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
study_major	What are you currently studying or what did you study?	textarea	character	0	education_level.indexOf(‘uni’) > -1 || occupational_status.indexOf(‘student’) > -1 //js_only		13	232	0.8602	781	0	3	225	2

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	study_major	Was studieren Sie derzeit oder haben Sie studiert?	0	education_level.indexOf(‘uni’) > -1 || occupational_status.indexOf(‘student’) > -1 //js_only		13

Value labels

Response choices

name	value

postal_code

What are the first three digits of your zip code?

Distribution

Distribution of values for postal_code

21 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
postal_code	What are the first three digits of your zip code?	text	[0-9][0-9][0-9]	character	0			14	21	0.9873	423	0	3	3	0

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
text	[0-9][0-9][0-9]	postal_code	Wie lauten die ersten drei Ziffern ihrer Postleitzahl?	0			14

Value labels

Response choices

name	value

religion

Which religion or belief system do you consider yourself a part of?

Distribution

Distribution of values for religion

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
religion	Which religion or belief system do you consider yourself a part of?	haven_labelled	21	0.9873	13	0	5	NA	13	0	7

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4
5	5
6	6
7	7

religiosity

How religious would you describe yourself?

Distribution

Distribution of values for religiosity

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
religiosity	How religious would you describe yourself?	haven_labelled	21	0.9873	1	2	6	2.223	1.347	7	▇▅▁▂▂▁▁▁

Value labels

Response choices

name	value
1: non-religious	1
2	2
3	3
4	4
5	5
6: religious	6
Item was never rendered for this user.	NA

sex_orientation

What best describes your sexual orientation?

Distribution

Distribution of values for sex_orientation

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_orientation	What best describes your sexual orientation?	haven_labelled	21	0.9873	1	1	8	1.367	0.794	9	▇▃▁▁▁▁▁▁

Value labels

Response choices

name	value
Solely heterosexual	1
Mostly heterosexual, only occasionally homosexual	2
Mostly heterosexual, but more than occasionally homosexual	3
In equal measure heterosexual and homosexual	4
Mostly homosexual, but more than occasionally heterosexual	5
Mostly homosexual, only occasionally heterosexual	6
Solely homosexual	7
asexual or aromantic	8
Item was never rendered for this user.	NA

sex_orientation_special

If the above mentioned categories don’t suffice, you can specify here.

Distribution

Distribution of values for sex_orientation_special

1577 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
sex_orientation_special	If the above mentioned categories don’t suffice, you can specify here.	textarea	character	1			18	1577	0.05	83	0	1	557	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	sex_orientation_special	Wenn Ihnen die obigen Kategorien nicht ausreichen, können Sie es hier in Ihre eigenen Worte fassen.	1			18

Value labels

Response choices

name	value

relationship_status

What is your relationship status?

Distribution

Distribution of values for relationship_status

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_status	What is your relationship status?	haven_labelled	21	0.9873	1	3	6	2.521	1.254	7	▅▁▁▇▁▁▂▁

Value labels

Response choices

name	value
single	1
loose relationship	2
committed relationship	3
engaged	4
married	5
other	6
Item was never rendered for this user.	NA

relationship_count

Are you..

Distribution

Distribution of values for relationship_count

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_count	Are you..	haven_labelled	549	0.6693	1	1	4	1.171	0.5909	6	▇▁▁▁▁▁▁▁

Missing value types

Plot of missing values for relationship_count

Value labels

Response choices

name	value
monogamous	1
polygamous	2
in an open relationship	3
other	4
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

relationship_details

You have selected a type of relationship which might not be concepted well in our questionnaire . Please describe your type of relationship here.

Distribution

Distribution of values for relationship_details

1632 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
relationship_details	You have selected a type of relationship which might not be concepted well in our questionnaire . Please describe your type of relationship here.	textarea	character	1	relationship_status > 5 | relationship_count > 3		21	1632	0.0169	28	0	16	444	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	relationship_details	Sie haben eine Beziehungsform angegeben, die in unserem Fragebogen vielleicht nicht gut erfasst wird. Bitte beschreiben Sie hier Ihre Beziehungsform einfach frei.	1	relationship_status > 5 | relationship_count > 3		21

Value labels

Response choices

name	value

duration_relationship_years

Years

Distribution

Distribution of values for duration_relationship_years

549 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for duration_relationship_years

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,100	duration_relationship_years	Jahre	0	relationship_status > 1		24

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

duration_relationship_month

Months

Distribution

Distribution of values for duration_relationship_month

549 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for duration_relationship_month

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,12	duration_relationship_month	Monate	0	relationship_status > 1		25

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_gender

What sex does your partner have?

Distribution

Distribution of values for partner_gender

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_gender	What sex does your partner have?	haven_labelled	549	0.6693	1	2	2	1.992	0.0897	5	▁▁▁▁▁▁▁▇

Missing value types

Plot of missing values for partner_gender

Value labels

Response choices

name	value
female	1
male	2
NA	3
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_gender_other

Other:

Distribution

## Error in if (stats::median(table(x)) == 1) {: missing value where TRUE/FALSE needed

## No non-missing values to show.

1660 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	whitespace
partner_gender_other	Other:	text	character	1	partner_gender == 3		27	1660	0	0	0	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	partner_gender_other	anderes:	1	partner_gender == 3		27

Value labels

Response choices

name	value

age_partner

How old is your partner?

Distribution

Distribution of values for age_partner

549 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for age_partner

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	14,120,1	age_partner	Wie alt ist Ihr Partner?	0	relationship_status > 1		28

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

abode_with_partner

Do you live with your partner?

Distribution

Distribution of values for abode_with_partner

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abode_with_partner	Do you live with your partner?	haven_labelled	549	0.6693	0	0	1	0.4572	0.4984	4	▇▁▁▁▁▁▁▇

Missing value types

Plot of missing values for abode_with_partner

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

abode_flat_share

Do you live in a household with other persons (other than your partner)?

Distribution

Distribution of values for abode_flat_share

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abode_flat_share	Do you live in a household with other persons (other than your partner)?	haven_labelled	21	0.9873	1	1	3	1.843	0.942	4	▇▁▁▁▁▁▁▆

Value labels

Response choices

name	value
no	1
with parents/grandparents	2
yes	3
Item was never rendered for this user.	NA

abode_flat_share_description

Who do you live with?

Please use this open XX to give us information about your roommates. It is easiest for us if you just indicate sex, age, and possibly relation to the person, e.g. as follows:

f, 55, mother f, 26, sister m, 30, brother

You don’t have to indicate yourself or your partner.

Distribution

Distribution of values for abode_flat_share_description

898 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
abode_flat_share_description	Who do you live with? Please use this open XX to give us information about your roommates. It is easiest for us if you just indicate sex, age, and possibly relation to the person, e.g. as follows: f, 55, mother f, 26, sister m, 30, brother You don’t have to indicate yourself or your partner.	textarea	character	0	abode_flat_share > 1		31	898	0.459	737	0	4	411	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	abode_flat_share_description	Mit wem wohnen Sie zusammen? Nutzen Sie bitte dieses offene Feld, um uns Angaben über Ihre Mitbewohner zu machen. Am einfachsten ist es für uns, wenn Sie einfach Geschlecht, Alter und gegebenenfalls Verwandtschaftsstatus angeben, bspw. so: w,55,Mutter w,26,Schwester m,30,Bruder Sich selbst und Ihren Partner (ggf.) müssen Sie nicht extra nennen.	0	abode_flat_share > 1		31

Value labels

Response choices

name	value

abode_alone

Do you live by yourself?

Distribution

Distribution of values for abode_alone

1455 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
abode_alone	Do you live by yourself?	haven_labelled	1455	0.1235	0	1	1	0.9171	0.2764	4	▁▁▁▁▁▁▁▇

Missing value types

Plot of missing values for abode_alone

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

abode_special_case_description

Please specify your living situation further.

Distribution

Distribution of values for abode_special_case_description

1643 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
abode_special_case_description	Please specify your living situation further.	textarea	character	0	abode_alone == 0		33	1643	0.0102	17	0	7	177	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	abode_special_case_description	Bitte beschreiben Sie Ihre aktuelle Wohnsituation etwas ausführlicher.	0	abode_alone == 0		33

Value labels

Response choices

name	value

long_distance_relationship

Do you have a long distance relationship?

Distribution

Distribution of values for long_distance_relationship

1057 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
long_distance_relationship	Do you have a long distance relationship?	haven_labelled	1057	0.3633	0	0	1	0.4345	0.4961	4	▇▁▁▁▁▁▁▆

Missing value types

Plot of missing values for long_distance_relationship

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

distance_partner

How far away from your partner do you live?

Distribution

Distribution of values for distance_partner

1397 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
distance_partner	How far away from your partner do you live?	haven_labelled	1397	0.1584	1	3	7	3.502	1.505	9	▂▇▇▇▁▅▁▂

Missing value types

Plot of missing values for distance_partner

Value labels

Response choices

name	value
less than an hour	1
1-2 hours	2
2-3 hours	3
3-5 hours	4
5-9 hours	5
9-12 hours	6
more than 12 hours	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

days_same_place_partner_monthly

How may days a month do you spend at the same place as your partner?

Distribution

Distribution of values for days_same_place_partner_monthly

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
days_same_place_partner_monthly	How may days a month do you spend at the same place as your partner?	haven_labelled	549	0.6693	1	6	7	5.199	1.663	9	▁▁▃▅▁▃▇▇

Missing value types

Plot of missing values for days_same_place_partner_monthly

Value labels

Response choices

name	value
less than three days	1
3-4 days	2
5-6 days	3
7-14 days	4
14-21 days	5
21-29 days	6
more than 29 days	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

days_with_partner

How many days per week on average do you spend at the same place as your partner?

Distribution

Distribution of values for days_with_partner

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
days_with_partner	How many days per week on average do you spend at the same place as your partner?	haven_labelled	549	0.6693	0	5	7	4.5	2.234	10	▁▂▅▃▂▂▅▇

Missing value types

Plot of missing values for days_with_partner

Value labels

Response choices

name	value
0: days	0
1	1
2	2
3	3
4	4
5	5
6	6
7: days	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

nights_with_partner

How many nights per week on average do you spend at the same place as your partner?

Distribution

Distribution of values for nights_with_partner

549 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
nights_with_partner	How many nights per week on average do you spend at the same place as your partner?	haven_labelled	549	0.6693	0	4	7	4.223	2.37	10	▂▃▃▃▂▂▃▇

Missing value types

Plot of missing values for nights_with_partner

Value labels

Response choices

name	value
0: nights	0
1	1
2	2
3	3
4	4
5	5
6	6
7: nights	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

has_children

Do you have children?

Distribution

Distribution of values for has_children

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
has_children	Do you have children?	haven_labelled	21	0.9873	0	0	1	0.1086	0.3112	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

nr_children

How many biological children do you have?

Distribution

Distribution of values for nr_children

1482 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for nr_children

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,20,1	nr_children	Wieviele leibliche Kinder haben Sie?	0	has_children == 1		40

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_father

Is your current partner the father of your children?

Distribution

Distribution of values for partner_father

1482 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_father	Is your current partner the father of your children?	haven_labelled	1482	0.1072	0	1	1	0.6404	0.4812	4	▅▁▁▁▁▁▁▇

Missing value types

Plot of missing values for partner_father

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

family_description_optional

You can add other information about your family relations, which aren’t included in our questionnaire, here (e.g. adopted children).

Distribution

Distribution of values for family_description_optional

1628 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
family_description_optional	You can add other information about your family relations, which aren’t included in our questionnaire, here (e.g. adopted children).	textarea	character	1	has_children == 1		42	1628	0.0193	32	0	13	304	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	family_description_optional	Hier können Sie andere Angaben zu Ihren Familienverhältnissen, die in unseren Fragebogen sonst nicht passen, ergänzen (bspw. Adoptivkinder).	1	has_children == 1		42

Value labels

Response choices

name	value

pregnant

Are you pregnant or have been in the last three months?

Distribution

Distribution of values for pregnant

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pregnant	Are you pregnant or have been in the last three months?	haven_labelled	21	0.9873	0	0	1	0.014	0.1177	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

breast_feeding

Are you currently breastfeeding or have you breastfed in the last three months?

Distribution

Distribution of values for breast_feeding

21 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
breast_feeding	Are you currently breastfeeding or have you breastfed in the last three months?	haven_labelled	21	0.9873	0	0	1	0.0171	0.1296	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

pregnant_stress

If you were to find out today that you are pregnant that would be…

Distribution

Distribution of values for pregnant_stress

59 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pregnant_stress	If you were to find out today that you are pregnant that would be…	haven_labelled	59	0.9645	1	2	6	2.659	1.483	8	▇▇▁▅▅▁▂▁

Missing value types

Plot of missing values for pregnant_stress

Value labels

Response choices

name	value
1: severly burdensome	1
2	2
3	3
4	4
5	5
6: very delightful	6
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

pregnant_trying

Are you currently trying to fall pregnant?

Distribution

Distribution of values for pregnant_trying

59 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pregnant_trying	Are you currently trying to fall pregnant?	haven_labelled	59	0.9645	1	1	6	1.278	0.8549	8	▇▁▁▁▁▁▁▁

Missing value types

Plot of missing values for pregnant_trying

Value labels

Response choices

name	value
1: I’m trying to avoid it.	1
2	2
3	3
4	4
5	5
6: I’m trying to conceive.	6
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

wish_for_children

Why not?

Distribution

Distribution of values for wish_for_children

120 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
wish_for_children	Why not?	haven_labelled	120	0.9277	7	0	12	NA	29	0	7

Value labels

Response choices

name	value
1	not_actively_trying
2	not_in_current_life_situation
3	not_with_this_partner
4	dont_have_partner
5	partner_doesnt_want
6	rather_adopt
7	cant_imagine_having_kids

contraception_at_all

Do you generally use contraception (e.g. the pill, condoms, rhythm method, pull-out method, etc.) when having sex?

Distribution

Distribution of values for contraception_at_all

59 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
contraception_at_all	Do you generally use contraception (e.g. the pill, condoms, rhythm method, pull-out method, etc.) when having sex?	haven_labelled	59	0.9645	1	1	6	1.661	1.416	8	▇▁▁▁▁▁▁▁

Missing value types

Plot of missing values for contraception_at_all

Value labels

Response choices

name	value
yes	1
most of the time	2
ja, aber ich lasse es auch etwas “drauf ankommen”	3
nein, ich lasse es “drauf ankommen”	4
No, I don’t currently have sex at all.	5
No, I have other reasons.	6
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

contraception_other_reasons_not_to

You can state other reasons here.

Distribution

Distribution of values for contraception_other_reasons_not_to

1605 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_other_reasons_not_to	You can state other reasons here.	textarea	character	0	contraception_at_all == 6		52	1605	0.0331	54	0	5	401	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	contraception_other_reasons_not_to	Hier können Sie andere Gründe, die in unser Fragebogenformat nicht gut passen, angeben	0	contraception_at_all == 6		52

Value labels

Response choices

name	value

contraception_method

What kind of contraception are you currently using? You can name more than one method of contraception.

Distribution

Distribution of values for contraception_method

273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_method	What kind of contraception are you currently using? You can name more than one method of contraception.	haven_labelled	273	0.8355	70	0	10	NA	123	0	19

Value labels

Response choices

name	value
1	hormonal_pill
2	hormonal_other
3	barrier_condoms
4	barrier_other
5	barrier_intrauterine_pessar
6	barrier_coitus_interruptus
7	barrier_no_penetrative_sex
8	awareness_calendar
9	awareness_temperature_billings
10	awareness_computer
11	barrier_spermicide
12	barrier_chemical
13	hormonal_morning_after_pill
14	breast_feeding
15	infertile
16	partner_infertile
17	sterilised
18	partner_sterilised
19	not_listed

contraception_method_other

Which other method, that is not listed here, do you use?

Distribution

Distribution of values for contraception_method_other

1651 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_method_other	Which other method, that is not listed here, do you use?	text	character	0	contraception_method %contains% ‘not_listed’		54	1651	0.0054	9	0	3	56	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	contraception_method_other	Welche andere, nicht in der Liste vorkommende, Methode benutzen Sie?	0	contraception_method %contains% ‘not_listed’		54

Value labels

Response choices

name	value

contraception_combi

You have stated that you combine different contraceptives. What is your reason or are your reasons for doing so?

Distribution

Distribution of values for contraception_combi

1197 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_combi	You have stated that you combine different contraceptives. What is your reason or are your reasons for doing so?	haven_labelled	1197	0.2789	38	0	5	NA	123	0	7

Value labels

Response choices

name	value
1	multiple_to_decrease_infection_risk
2	multiple_to_decrease_conception_risk
3	fallback_if_forgotten
4	fallback_if_fertile
5	barrier_if_partner_sick
6	different_methods_for_different_partners
7	other

contraception_method_combination_other

Other reason:

Distribution

Distribution of values for contraception_method_combination_other

1636 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_method_combination_other	Other reason:	textarea	character	0	contraception_combi %contains% “other”		56	1636	0.0145	24	0	13	403	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	contraception_method_combination_other	anderer Grund:	0	contraception_combi %contains% “other”		56

Value labels

Response choices

name	value

contraception_calendar_abstinence

You have stated that you use a form of contraception in which you determine your fertile window. How do you normally behave when in your fertile window?

Distribution

Distribution of values for contraception_calendar_abstinence

1520 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_calendar_abstinence	You have stated that you use a form of contraception in which you determine your fertile window. How do you normally behave when in your fertile window?	character	1520	0.0843	10	0	8	38	0

contraception_hormonal_pill

What is the name of your contraceptive pill? In case you are taking a “Replica with the identical active substances, generic drug…” and it’s missing in our list, you are welcome to state the trademark here.

Distribution

Distribution of values for contraception_hormonal_pill

1086 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_hormonal_pill	What is the name of your contraceptive pill? In case you are taking a “Replica with the identical active substances, generic drug…” and it’s missing in our list, you are welcome to state the trademark here.	haven_labelled	1086	0.3458	69	0	3	NA	19	0	97

other_pill_name

You have stated that your pill isn’t on this list. Please state the name of your pill here.

Distribution

Distribution of values for other_pill_name

1581 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
other_pill_name	You have stated that your pill isn’t on this list. Please state the name of your pill here.	text	character	0	contraception_hormonal_pill == ‘other’		59	1581	0.0476	49	0	5	31	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	other_pill_name	Sie haben angegeben, dass Ihre Pille in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihrer Pille.	0	contraception_hormonal_pill == ‘other’		59

Value labels

Response choices

name	value

contraception_hormonal_other

What hormonal contraceptive do you use?

Distribution

Distribution of values for contraception_hormonal_other

1563 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_hormonal_other	What hormonal contraceptive do you use?	haven_labelled	1563	0.0584	7	0	4	NA	13	0	8

Value labels

Response choices

name	value
1	nuvaring
2	circlet
3	evra
4	mirena
5	depo_provera
6	depo_clinovir
7	implanon
8	other

contraception_hormonal_other_name

You have stated that your hormonal contraceptive isn’t on this list. Please state the name of your hormonal contraceptive here.

Distribution

Distribution of values for contraception_hormonal_other_name

1634 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_hormonal_other_name	You have stated that your hormonal contraceptive isn’t on this list. Please state the name of your hormonal contraceptive here.	text	character	0	contraception_hormonal_other == ‘other’		61	select2hormonal	1634	0.0157	10	0	6	31	0

Item

Item options

type	name	label	optional	class	showif	value	item_order
text	contraception_hormonal_other_name	Sie haben angegeben, dass Ihr Verhütungsmittel in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihres Verhütungsmittels.	0	select2hormonal	contraception_hormonal_other == ‘other’		61

Value labels

Response choices

name	value

contraception_pill_estrogen

Please look up how many mircograms (µg) of oestrogen your pill contains by reading the package insert of your contraceptive pill. Most contraceptive pills contain between 0 and 50 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (µg).

Distribution

Distribution of values for contraception_pill_estrogen

1581 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for contraception_pill_estrogen

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,100,1	contraception_pill_estrogen	Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (µg) Östrogen Ihre Pille enthält. Die meisten Pillen enthalten zwischen 0 und 50 Mikrogramm Östrogen. Manchmal wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.	0	contraception_hormonal_pill == ‘other’		62

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

contraception_pill_gestagen_type

Please look up what type of gestagen is used in your contraceptive pill by reading the package insert.

Distribution

Distribution of values for contraception_pill_gestagen_type

1581 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_pill_gestagen_type	Please look up what type of gestagen is used in your contraceptive pill by reading the package insert.	haven_labelled	1581	0.0476	9	0	3	NA	14	0	12

Value labels

Response choices

name	value
1	CMA
2	CPA
3	DNG
4	DSG
5	DSP
6	GSD
7	LYN
8	LNG
9	NEA
10	NES
11	NGT
12	other_gestagen

contraception_pill_gestagen

Please look up how many mircograms (µg) of gestagen your pill contains by reading the package insert of your contraceptive pill. Most contraceptive pills contain between 50 and 3000 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (µg).

Distribution

Distribution of values for contraception_pill_gestagen

1581 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for contraception_pill_gestagen

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,4000,1	contraception_pill_gestagen	Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (µg) des jeweiligen Gestagens Ihre Pille enthält. Die meisten Pillen enthalten zwischen 50 und 3000 Mikrogramm Gestagen. Häufig wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.	0	contraception_hormonal_pill == ‘other’		64

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

contraception_other_estrogen

Please look up how many mircograms (µg) of oestrogen your contraceptive contains by reading the package insert of your contraceptive. Most contraceptives contain between 0 and 50 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (µg).

Distribution

Distribution of values for contraception_other_estrogen

1581 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for contraception_other_estrogen

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,100,1	contraception_other_estrogen	Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (µg) Östrogen Ihr Verhütungsmittel enthält. Die meisten Verhütungsmittel enthalten zwischen 0 und 50 Mikrogramm Östrogen. Manchmal wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.	0	contraception_hormonal_pill == ‘other’		65

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

contraception_other_gestagen_type

Please look up what type of gestagen is used in your contraceptive by reading the package insert.

Distribution

Distribution of values for contraception_other_gestagen_type

1581 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
contraception_other_gestagen_type	Please look up what type of gestagen is used in your contraceptive by reading the package insert.	haven_labelled	1581	0.0476	10	0	3	NA	14	0	12

Value labels

Response choices

name	value
1	CMA
2	CPA
3	DNG
4	DSG
5	DSP
6	GSD
7	LYN
8	LNG
9	NEA
10	NES
11	NGT
12	other_gestagen

contraception_other_gestagen

Please look up how many mircograms (µg) of gestagen your contraceptive contains by reading the package insert of your contraceptive. Most contraceptives contain between 50 and 3000 micrograms of gestagen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (µg).

Distribution

Distribution of values for contraception_other_gestagen

1581 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for contraception_other_gestagen

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,4000,1	contraception_other_gestagen	Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (µg) des jeweiligen Gestagens Ihr Verhütungsmittel enthält. Die meisten Verhütungsmittel enthalten zwischen 50 und 3000 Mikrogramm Gestagen. Häufig wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.	0	contraception_hormonal_pill == ‘other’		67

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

contraception_app

Do you use a cycle-app?

Distribution

Distribution of values for contraception_app

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
contraception_app	Do you use a cycle-app?	haven_labelled	36	0.9783	0	0	1	0.2531	0.4349	3	▇▁▁▁▁▁▁▃

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

contraception_app_name

What is this app called?

Distribution

Distribution of values for contraception_app_name

1249 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
contraception_app_name	What is this app called?	text	character	0	contraception_app == 1		69	1249	0.2476	173	0	3	91	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	contraception_app_name	Wie heißt diese App?	0	contraception_app == 1		69

Value labels

Response choices

name	value

hormonal_contraception_last3m

Have you used hormonal contraception in the last three months?

Distribution

Distribution of values for hormonal_contraception_last3m

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
hormonal_contraception_last3m	Have you used hormonal contraception in the last three months?	haven_labelled	36	0.9783	0	0	1	0.431	0.4954	3	▇▁▁▁▁▁▁▆

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

contraception_meeting_partner

Where you using hormonal contraception (e.g. contraceptive pill) when you met your partner?

Distribution

Distribution of values for contraception_meeting_partner

560 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
contraception_meeting_partner	Where you using hormonal contraception (e.g. contraceptive pill) when you met your partner?	haven_labelled	560	0.6627	0	0	1	0.4945	0.5002	4	▇▁▁▁▁▁▁▇

Missing value types

Plot of missing values for contraception_meeting_partner

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

self_rated_health

Please determine your general health at this moment in time.

Distribution

Distribution of values for self_rated_health

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
self_rated_health	Please determine your general health at this moment in time.	haven_labelled	53	0.9681	1	2	4	1.78	0.7117	6	▆▁▇▁▁▂▁▁

Value labels

Response choices

name	value
very good	1
good	2
partly good/ partly poor	3
poor	4
very poor	5
Item was never rendered for this user.	NA

height

Please state your height in cm (without shoes).

Distribution

Distribution of values for height

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	80,230	height	Bitte geben Sie Ihre Körpergröße in cm an (ohne Schuhe).	0			76

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

weight

Please state your weight in kg (without clothes).

Distribution

Distribution of values for weight

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	40,200	weight	Bitte geben Sie Ihr Gewicht in kg an (ohne Kleidung).	0			77

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

hormonal_med

Have you taken any hormonal medication (besides contraception) in the last three months?

Distribution

Distribution of values for hormonal_med

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
hormonal_med	Have you taken any hormonal medication (besides contraception) in the last three months?	haven_labelled	53	0.9681	0	0	1	0.0697	0.2547	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

hormonal_med_name

Which have you taken?

Distribution

Distribution of values for hormonal_med_name

1548 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
hormonal_med_name	Which have you taken?	haven_labelled	1548	0.0675	29	0	2	NA	24	0	4

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4

psychoactive_med

Do you take psychoactive medication (e.g. against depression)?

Distribution

Distribution of values for psychoactive_med

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
psychoactive_med	Do you take psychoactive medication (e.g. against depression)?	haven_labelled	53	0.9681	0	0	1	0.0342	0.1819	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

psychoactive_med_name

Which do you take?

Distribution

Distribution of values for psychoactive_med_name

1605 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
psychoactive_med_name	Which do you take?	text	character	0	psychoactive_med ==1		81	1605	0.0331	44	0	5	51	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	psychoactive_med_name	Welche?	0	psychoactive_med ==1		81

Value labels

Response choices

name	value

alcohol_weekly

How many glasses of alcohol do you averagely ingest in a week?

Distribution

Distribution of values for alcohol_weekly

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,50, 0.5	alcohol_weekly	Wie viel Gläser Alkohol trinken Sie im Schnitt in der Woche?	0			82

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

cigarettes_daily

How many cigaretts do you averagely smoke in a day?

Distribution

Distribution of values for cigarettes_daily

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,100,1	cigarettes_daily	Wie viele Zigaretten rauchen Sie im Schnitt am Tag?	0			83

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

sport_weekly

How many hours a week do you work out (causing you to sweat)?

Distribution

Distribution of values for sport_weekly

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,60,0.5	sport_weekly	Wie viele Stunden pro Woche treiben Sie schweißtreibenden Sport?	0			84

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

sport_kinds

Distribution

Distribution of values for sport_kinds

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sport_kinds		haven_labelled	53	0.9681	525	0	1	NA	122	3	7

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4
5	5
6	6
7	7

meat_eating

Do you eat meat or animal products?

Distribution

Distribution of values for meat_eating

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
meat_eating	Do you eat meat or animal products?	haven_labelled	53	0.9681	7	0	7	NA	14	0	7

Value labels

Response choices

name	value
1	1_every_day
2	2_frequently
3	3_rarely
4	4_only_poultry
5	5_only_fish
6	6_vegetarian
7	7_vegan

menarche

How old were you when you had your first period?

Distribution

Distribution of values for menarche

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	8,20	menarche	Wie alt waren Sie, als Sie Ihre erste Monatsblutung (Periode, Tage, Menstruation) hatten?	0			87

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

menarche_certainty

How sure are you about this statement?

Distribution

Distribution of values for menarche_certainty

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menarche_certainty	How sure are you about this statement?	haven_labelled	53	0.9681	1	2	7	1.967	0.9227	8	▇▆▆▁▁▁▁▁

Value labels

Response choices

name	value
completely sure	1
±0.5 years	2
±1 year	3
±2 years	4
±3 years	5
±4 years	6
more doubtful	7
Item was never rendered for this user.	NA

number_sexual_partner

With how many people have you had sexual intercourse with throughout your life?

Distribution

Distribution of values for number_sexual_partner

53 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,400	number_sexual_partner	Mit wie vielen Personen haben Sie insgesamt in Ihrem Leben Geschlechtsverkehr gehabt?	0			89

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

number_sexual_partner_certainty

How sure are you about this statement?

Distribution

Distribution of values for number_sexual_partner_certainty

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
number_sexual_partner_certainty	How sure are you about this statement?	haven_labelled	53	0.9681	1	1	8	1.646	1.225	9	▇▂▁▁▁▁▁▁

Value labels

Response choices

name	value
completely sure	1
NA	2
NA	3
NA	4
NA	5
NA	6
NA	7
more doubtful	8
Item was never rendered for this user.	NA

first_time

How old were you when you had sex for the first time?

Distribution

Distribution of values for first_time

134 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for first_time

Item

Item options

type	name	label	optional	showif	value	item_order
number	first_time	Wie alt waren Sie, als Sie das erste Mal Geschlechtsverkehr hatten?	0	number_sexual_partner > 0		91

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

first_time_certainty

How sure are you about this statement?

Distribution

Distribution of values for first_time_certainty

134 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
first_time_certainty	How sure are you about this statement?	haven_labelled	134	0.9193	1	1	7	1.227	0.5712	9	▇▁▁▁▁▁▁▁

Missing value types

Plot of missing values for first_time_certainty

Value labels

Response choices

name	value
completely sure	1
±0.5 years	2
±1 year	3
±2 years	4
±3 years	5
±4 years	6
more doubtful	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

mother_menopause_yes

Has your mother reached her menopause?

Distribution

Distribution of values for mother_menopause_yes

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
mother_menopause_yes	Has your mother reached her menopause?	haven_labelled	53	0.9681	1	2	4	1.772	0.8523	5	▇▁▅▁▁▃▁▁

Value labels

Response choices

name	value
Yes	1
No, she’s currently in her menopause.	2
No, not yet.	3
No, she died before she could have had it.	4
Item was never rendered for this user.	NA

mother_menopause_age

How old was your mother when her menopause began? If you can’t name the point of time exactly, try to remember when it was that your mother expressed having typical menopausal symptoms (hot flashes etc.). Idealy try to ask your mother (via telephone), but you are free to carry on without doing this if it’s not possible at the moment.

Distribution

Distribution of values for mother_menopause_age

895 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for mother_menopause_age

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	30,60	mother_menopause_age	Wie alt war Ihre Mutter beim Einsetzen ihrer Menopause? Wenn Sie es den Zeitpunkt nicht genau benennen können, versuchen Sie sich zu erinnern, wann Ihre Mutter über typische Begleiterscheinungen (z.B. Hitzewallungen, etc.) gesprochen hat. Idealerweise fragen Sie Ihre Mutter kurz (telefonisch), aber Sie können auch fortfahren, ohne dies zu tun, wenn es grade nicht geht.	0	mother_menopause_yes == 1		94

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

mother_menopause_certainty

How sure are you about this statement?

Distribution

Distribution of values for mother_menopause_certainty

895 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
mother_menopause_certainty	How sure are you about this statement?	haven_labelled	895	0.4608	1	4	7	4.546	1.889	9	▂▂▆▇▁▃▂▇

Missing value types

Plot of missing values for mother_menopause_certainty

Value labels

Response choices

name	value
completely sure (I asked her)	1
±0.5 years	2
±1 year	3
±2 years	4
±3 years	5
±4 years	6
more doubtful (I guessed)	7
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menopause_yes

Have you reached menopause?

Distribution

Distribution of values for menopause_yes

1597 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menopause_yes	Have you reached menopause?	haven_labelled	1597	0.038	1	2	3	1.984	0.8518	5	▇▁▁▆▁▁▁▇

Missing value types

Plot of missing values for menopause_yes

Value labels

Response choices

name	value
Yes	1
No, I’m currently in my menopause.	2
No, not yet.	3
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menopause_age

How old were you when your menopause began?

Distribution

Distribution of values for menopause_age

1637 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for menopause_age

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	30,60	menopause_age	Wie alt waren Sie selbst zum Eintritt Ihrer Menopause?	0	menopause_yes == 1		97

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menopause_certainty

How sure are you about this statement?

Distribution

Distribution of values for menopause_certainty

1637 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menopause_certainty	How sure are you about this statement?	haven_labelled	1637	0.0139	1	1	8	1.826	1.614	10	▇▂▂▁▁▁▁▁

Missing value types

Plot of missing values for menopause_certainty

Value labels

Response choices

name	value
completely sure	1
±0.5 years	2
±1 year	3
±2 years	4
±3 years	5
±4 years	6
±7 years	7
more doubtful	8
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menstruation_regular

Do you currently have a regular period (roughly every month)?

Distribution

Distribution of values for menstruation_regular

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_regular	Do you currently have a regular period (roughly every month)?	haven_labelled	53	0.9681	0	1	1	0.8121	0.3908	3	▂▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

menstruation_last

Please state the first day (start) of your last period. If possible check the date in your calendar.

Distribution

## 246  unique, categorical values, so not shown.

355 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	min	median	max
menstruation_last	Please state the first day (start) of your last period. If possible check the date in your calendar.	date	-2months,today	Date	0	menstruation_regular == 1		100	355	0.7861	246	2016-04-01	2016-08-30	2017-01-08

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
date	-2months,today	menstruation_last	Nennen Sie bitte den ersten Tag (Start) Ihrer letzten Periode (Menstruationsblutung). Wenn möglich schauen Sie das Datum bitte in Ihrem Kalender nach.	0	menstruation_regular == 1		100

Value labels

Response choices

name	value

menstruation_last_certainty

How sure are you about this statement?

Distribution

Distribution of values for menstruation_last_certainty

355 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_last_certainty	How sure are you about this statement?	haven_labelled	355	0.7861	1	1	8	1.628	1.292	10	▇▂▁▁▁▁▁▁

Missing value types

Plot of missing values for menstruation_last_certainty

Value labels

Response choices

name	value
completely sure	1
±1 day	2
±2 days	3
±3 days	4
±4 days	5
±5 days	6
±6 days	7
more doubtful	8
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menstruation_length

How long does your menstrual cycle last (amout of days between the start of one period to the next; mostly between 25-35 days)?

Distribution

Distribution of values for menstruation_length

355 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for menstruation_length

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	15,50,1	menstruation_length	Wie lange dauert Ihr Menstruationszyklus (Tage vom Beginn einer Monatsblutung bis zum Beginn der nächsten Monatsblutung; meist zwischen 25-35 Tagen)?	0	menstruation_regular == 1		102

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menstruation_length_certainty

How sure are you about this statement?

Distribution

Distribution of values for menstruation_length_certainty

355 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_length_certainty	How sure are you about this statement?	haven_labelled	355	0.7861	1	2	8	2.607	1.508	10	▆▇▇▃▁▁▁▁

Missing value types

Plot of missing values for menstruation_length_certainty

Value labels

Response choices

name	value
completely sure	1
±1 day	2
±2 days	3
±3 days	4
±4 days	5
±5 days	6
±6 days	7
more doubtful	8
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menstruation_regularity

How regular has your period been in the last three months?

Distribution

Distribution of values for menstruation_regularity

355 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_regularity	How regular has your period been in the last three months?	haven_labelled	355	0.7861	1	2	4	2.134	0.7791	6	▃▁▇▁▁▃▁▁

Missing value types

Plot of missing values for menstruation_regularity

Value labels

Response choices

name	value
completely (no fluctuations)	1
Very (max. 1-2 days fluctuation)	2
Somewhat (3-5 days fluctuation)	3
Hardly (more than 5 days fluctuation)	4
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

menstruation_regularity_certainty

How sure are you about this statement?

Distribution

Distribution of values for menstruation_regularity_certainty

355 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_regularity_certainty	How sure are you about this statement?	haven_labelled	355	0.7861	1	1	8	1.566	1.083	10	▇▃▁▁▁▁▁▁

Missing value types

Plot of missing values for menstruation_regularity_certainty

Value labels

Response choices

name	value
completely sure	1
±1 days	2
±2 days	3
±3 days	4
±4 days	5
±5 days	6
±6 days	7
more doubtful	8
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

free_not_covered

In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here.

Distribution

Distribution of values for free_not_covered

1471 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
free_not_covered	In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here.	textarea	character	1			107	1471	0.1139	189	0	1	1002	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	free_not_covered	Falls Fragen für Sie nicht oder nur falsch beantwortbar waren, oder Sie ansonsten den Eindruck haben, dass uns hier etwas wichtiges entging, geben Sie es bitte in diesem offenen Feld an. <small>optional</small>	1			107

Value labels

Response choices

name	value

hetero_relationship

Distribution

Distribution of values for hetero_relationship

36 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
hetero_relationship		numeric	36	0.9783	0	1	1	0.6718	0.4697	▃▁▁▁▇

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	1660	0	7	7	0	NA

ended_date

user finished survey

Distribution

## 215  unique, categorical values, so not shown.

53 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
ended_date	user finished survey	Date	53	0.9681	215	2016-05-02	2016-09-15	2017-01-14

contraception_other_pill_estrogen

Distribution

Distribution of values for contraception_other_pill_estrogen

1588 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
contraception_other_pill_estrogen	numeric	1588	0.0434	20	2700	2700	1480	1337	▆▁▁▁▇	NA

contraception_other_pill_gestagen

Distribution

Distribution of values for contraception_other_pill_gestagen

1557 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
contraception_other_pill_gestagen	numeric	1557	0.062	75	11700	150000	22694	30969	▇▂▁▁▁	NA

contraception_other_pill_gestagen_type

Distribution

Distribution of values for contraception_other_pill_gestagen_type

1557 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
contraception_other_pill_gestagen_type	character	1557	0.062	6	0	9	25	0	NA

hormonal_contraception

Distribution

Distribution of values for hormonal_contraception

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
hormonal_contraception	logical	0	1	FAL: 982, TRU: 678	0.4084	NA

contraception_method_broad

Distribution

Distribution of values for contraception_method_broad

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
contraception_method_broad	character	0	1	7	273	0	10	0	NA

contraception_hormonal_pill_estrogen

Distribution

Distribution of values for contraception_hormonal_pill_estrogen

1127 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
contraception_hormonal_pill_estrogen	numeric	1127	0.3211	0	30	100	27.23	8.007	▃▇▁▁▁	NA

contraception_hormonal_pill_gestagen_type

Distribution

Distribution of values for contraception_hormonal_pill_gestagen_type

1086 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
contraception_hormonal_pill_gestagen_type	character	1086	0.3458	12	79	0	14	0	NA

estrogen_progestogen

Distribution

Distribution of values for estrogen_progestogen

8 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
estrogen_progestogen	character	8	0.9952	3	0	12	24	0	NA

living_situation

Distribution

Distribution of values for living_situation

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
living_situation	character	0	1	7	0	5	13	0	NA

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "s1_demo",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=1660 rows and 114 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "created", "modified", "ended", "expired", "info_study", "lab_code", "age", "gender", "gender_other", "education_years", "education_level", "education_level_special", "occupational_status", "occupation", "net_income", "study_major", "postal_code", "religion", "religiosity", "sex_orientation", "sex_orientation_special", "relationship_status", "relationship_count", "relationship_details", "duration_relationship_years", "duration_relationship_month", "partner_gender", "partner_gender_other", "age_partner", "abode_with_partner", "abode_flat_share", "abode_flat_share_description", "abode_alone", "abode_special_case_description", "long_distance_relationship", "distance_partner", "days_same_place_partner_monthly", "days_with_partner", "nights_with_partner", "has_children", "nr_children", "partner_father", "family_description_optional", "pregnant", "breast_feeding", "pregnant_stress", "pregnant_trying", "wish_for_children", "contraception_at_all", "contraception_other_reasons_not_to", "contraception_method", "contraception_method_other", "contraception_combi", "contraception_method_combination_other", "contraception_calendar_abstinence", "contraception_hormonal_pill", "other_pill_name", "contraception_hormonal_other", "contraception_hormonal_other_name", "contraception_pill_estrogen", "contraception_pill_gestagen_type", "contraception_pill_gestagen", "contraception_other_estrogen", "contraception_other_gestagen_type", "contraception_other_gestagen", "contraception_app", "contraception_app_name", "hormonal_contraception_last3m", "contraception_meeting_partner", "self_rated_health", "height", "weight", "hormonal_med", "hormonal_med_name", "psychoactive_med", "psychoactive_med_name", "alcohol_weekly", "cigarettes_daily", "sport_weekly", "sport_kinds", "meat_eating", "menarche", "menarche_certainty", "number_sexual_partner", "number_sexual_partner_certainty", "first_time", "first_time_certainty", "mother_menopause_yes", "mother_menopause_age", "mother_menopause_certainty", "menopause_yes", "menopause_age", "menopause_certainty", "menstruation_regular", "menstruation_last", "menstruation_last_certainty", "menstruation_length", "menstruation_length_certainty", "menstruation_regularity", "menstruation_regularity_certainty", "free_not_covered", "hetero_relationship", "short", "ended_date", "contraception_other_pill_estrogen", "contraception_other_pill_gestagen", "contraception_other_pill_gestagen_type", "hormonal_contraception", "contraception_method_broad", "contraception_hormonal_pill_estrogen", "contraception_hormonal_pill_gestagen_type", "estrogen_progestogen", "living_situation"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "info_study",
      "description": "How did this study come to your attention?",
      "value": "1. Invitation by the study team,\n2. Posters at the University of Goettingen,\n3. private contact,\n4. www.psytests.de,\n5. media,\n6. other",
      "maxValue": "6",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "lab_code",
      "description": "Are you also taking part in our laboratory study _Attraktivitätsbeurteilungen_ in Göttingen and have received a code for this study? If you have, please enter your personalized code here. If you haven't you can leave it blank.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "Your age",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "description": "Your sex",
      "value": "1. female,\n2. anderes,\nNA. Item was never rendered for this user.",
      "maxValue": 2,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "gender_other",
      "description": "Other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "education_years",
      "description": "How many years of education have you had? (High school, studies at a university or community college, NOT training school)",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "education_level",
      "description": "What is the highest degree you've earned?",
      "value": "0_not_finished. without a school-leaving qualification,\n1_hauptschule. basic school certificate (9 years of schooling),\n2_realschule. secondary school certificate (10 years of schooling),\n3_polytechnic. graduation of polytechnical secondary school,\n4_professional_school. vocational qualification,\n5_fachabitur. advanced technical college certificate,\n6_abitur. higher education entrance qualification,\n7_vocational_uni_bachelor. polytechnic bachelors degree,\n8_uni_bachelor. bachelors degree,\n9_vocational_uni_master_level. polytechnic master's degree/diploma,\n10_uni_master_level. master's degree/diploma,\n11_uni_doctorate. Phd/doctoral degree,\n12_uni_habilitation. postdoctoral lecture qualification/habilitation",
      "maxValue": "9_vocational_uni_master_level",
      "minValue": "0_not_finished",
      "@type": "propertyValue"
    },
    {
      "name": "education_level_special",
      "description": "Do you have a degree that doesn't fit into one of these categories? If this is the case you can write your degree in here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "occupational_status",
      "description": "What professional status do you have right now?",
      "value": "not_working. unemployed,\npupil. schoolar,\ntrainee. apprentice,\nstudent. student,\nhomemaker. Haus- und Familienarbeit ,\nemployed. employed,\nintern. intern",
      "maxValue": "trainee",
      "minValue": "employed",
      "@type": "propertyValue"
    },
    {
      "name": "occupation",
      "description": "What profession do you practice?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "net_income",
      "description": "How much money do you have at your disposition each month (net)?",
      "value": "euro_lt_500.  < 500€,\neuro_500_1000. 500-1000€,\neuro_1000_2000. 1000-2000€,\neuro_2000_3000. 2000-3000€,\neuro_gt_3000. >3000€,\ndont_tell. I do not want to state",
      "maxValue": "euro_lt_500",
      "minValue": "dont_tell",
      "@type": "propertyValue"
    },
    {
      "name": "study_major",
      "description": "What are you currently studying or what did you study?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "postal_code",
      "description": "What are the first three digits of your zip code?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "religion",
      "description": "Which religion or belief system do you consider yourself a part of?",
      "value": "1. Christentum ,\n2. Islam,\n3. Buddhism,\n4. Hinduism,\n5. Judentum ,\n6. andere ,\n7. not religious",
      "maxValue": "7",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "religiosity",
      "description": "How religious would you describe yourself?",
      "value": "1. 1: non-religious,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: religious,\nNA. Item was never rendered for this user.",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sex_orientation",
      "description": "What best describes your sexual orientation?",
      "value": "1. Solely heterosexual,\n2. Mostly heterosexual, only occasionally homosexual,\n3. Mostly heterosexual, but more than occasionally homosexual,\n4. In equal measure heterosexual and homosexual,\n5. Mostly homosexual, but more than occasionally heterosexual,\n6. Mostly homosexual, only occasionally heterosexual,\n7. Solely homosexual,\n8. asexual or aromantic,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sex_orientation_special",
      "description": "If the above mentioned categories don't suffice, you can specify here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_status",
      "description": "What is your relationship status?",
      "value": "1. single,\n2. loose relationship,\n3. committed relationship,\n4. engaged,\n5. married,\n6. other,\nNA. Item was never rendered for this user.",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_count",
      "description": "Are you..",
      "value": "1. monogamous,\n2. polygamous,\n3. in an open relationship,\n4. other,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_details",
      "description": "You have selected a type of relationship which might not be concepted well in our questionnaire . Please describe your type of relationship here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "duration_relationship_years",
      "description": "Years",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "duration_relationship_month",
      "description": "Months",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_gender",
      "description": "What sex does your partner have?",
      "value": "1. female,\n2. male,\n3. NA,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "partner_gender_other",
      "description": "Other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "age_partner",
      "description": "How old is your partner?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abode_with_partner",
      "description": "Do you live with your partner?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "abode_flat_share",
      "description": "Do you live in a household with other persons (other than your partner)?",
      "value": "1. no,\n2. with parents/grandparents,\n3. yes,\nNA. Item was never rendered for this user.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "abode_flat_share_description",
      "description": "Who do you live with? \n\nPlease use this open XX to give us information about your roommates. \nIt is easiest for us if you just indicate sex, age, and possibly relation to the person, e.g. as follows:\n\nf, 55, mother\nf, 26, sister\nm, 30, brother\n\nYou don't have to indicate yourself or your partner.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "abode_alone",
      "description": "Do you live by yourself?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "abode_special_case_description",
      "description": "Please specify your living situation further.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "long_distance_relationship",
      "description": "Do you have a long distance relationship?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "distance_partner",
      "description": "How far away from your partner do you live?",
      "value": "1. less than an hour,\n2. 1-2 hours,\n3. 2-3 hours,\n4. 3-5 hours,\n5. 5-9 hours,\n6. 9-12 hours,\n7. more than 12 hours,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "days_same_place_partner_monthly",
      "description": "How may days a month do you spend at the same place as your partner?",
      "value": "1. less than three days,\n2. 3-4 days,\n3. 5-6 days,\n4. 7-14 days,\n5. 14-21 days,\n6. 21-29 days,\n7. more than 29 days,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "days_with_partner",
      "description": "How many days per week on average do you spend at the same place as your partner?",
      "value": "0. 0: days,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: days,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "nights_with_partner",
      "description": "How many nights per week on average do you spend at the same place as your partner?",
      "value": "0. 0: nights,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: nights,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "has_children",
      "description": "Do you have children?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "nr_children",
      "description": "How many biological children do you have?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_father",
      "description": "Is your current partner the father of your children?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "family_description_optional",
      "description": "You can add other information about your family relations, which aren't included in our questionnaire, here (e.g. adopted children).",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "pregnant",
      "description": "Are you pregnant or have been in the last three months?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "breast_feeding",
      "description": "Are you currently breastfeeding or have you breastfed in the last three months?\n",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pregnant_stress",
      "description": "If you were to find out today that you are pregnant that would be...",
      "value": "1. 1: severly burdensome,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: very delightful,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pregnant_trying",
      "description": "Are you currently trying to fall pregnant?\n",
      "value": "1. 1: I'm trying to avoid it.,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: I'm trying to conceive.,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "wish_for_children",
      "description": "Why not?",
      "value": "not_actively_trying. I can imagine falling pregnant in the near future, but I am currently not trying.,\nnot_in_current_life_situation. `r ifelse(relationship_status == 1, 'I can imagine becoming pregnant, but rather not in my current life situation.', 'I can imagine conceiving a child with my current partner, but rather not in my current life situation.'),\nnot_with_this_partner. `r ifelse(relationship_status == 1, \"\", 'I can imagine becoming pregnant, but not with my current partner.'),\ndont_have_partner. `r ifelse(relationship_status == 1, 'I could imagine becoming pregnant, but I don't have a partner who would come into question.') ,\npartner_doesnt_want. `r ifelse(relationship_status == 1, \"\", 'I can imagine becoming pregnant, but my partner doesn't want to.'),\nrather_adopt. I want childern, but I rather want to adopt/foster children.,\ncant_imagine_having_kids. I can imagine ever having children.",
      "maxValue": "rather_adopt",
      "minValue": "cant_imagine_having_kids",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_at_all",
      "description": "Do you generally use contraception (e.g. the pill, condoms, rhythm method, pull-out method, etc.) when having sex?",
      "value": "1. yes,\n2. most of the time,\n3. ja, aber ich lasse es auch etwas \"drauf ankommen\",\n4. nein, ich lasse es \"drauf ankommen\",\n5. No, I don't currently have sex at all.,\n6. No, I have other reasons.,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 6,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_reasons_not_to",
      "description": "You can state other reasons here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_method",
      "description": "What kind of contraception are you currently using? You can name more than one method of contraception.",
      "value": "hormonal_pill. Oral contraceptives (pill),\nhormonal_other. other hormonal contraceptive (depot injections, hormonal implant, vaginal ring, hormone plasters, hormonal intrauterine device),\nbarrier_condoms. condoms,\nbarrier_other. Other barrier methods (diaphragm, female condom, cervical cap),\nbarrier_intrauterine_pessar. copper spiral or chain (IUD),\nbarrier_coitus_interruptus. coitus interruptus,\nbarrier_no_penetrative_sex. waive penatrative sexual intercourse\n,\nawareness_calendar. calender method,\nawareness_temperature_billings. temperature- / Billings ovulation-/ symptothermal method,\nawareness_computer. fertility monitor,\nbarrier_spermicide. spermicide,\nbarrier_chemical. chemical contraception,\nhormonal_morning_after_pill. \"Pille danach\",\nbreast_feeding. breastfeeding,\ninfertile. I am infertile,\npartner_infertile. My partner is infertile,\nsterilised. I have been sterilized,\npartner_sterilised. My partner has been sterilized,\nnot_listed. Other",
      "maxValue": "sterilised",
      "minValue": "awareness_calendar",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_method_other",
      "description": "Which other method, that is not listed here, do you use?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_combi",
      "description": "You have stated that you combine different contraceptives. What is your reason or are your reasons for doing so?",
      "value": "multiple_to_decrease_infection_risk. Always more than one (contraception + prevent sexually transmitted diseases),\nmultiple_to_decrease_conception_risk. Always more than one (increase contraception safety),\nfallback_if_forgotten. fall back on second method, if my parter or I forget to take/ buy the first (e.g. pill+condoms, or condoms+coitus interruptus),\nfallback_if_fertile. fall back on second method, when I am fertile (e.g. calendermethod + condoms or coitus interruptus while in my fertile window),\nbarrier_if_partner_sick. one method of contraception, others to prevent non-sexual infection (e.g. pill + abstinence, if partner is currently ill),\ndifferent_methods_for_different_partners. one method for certain partners, other method for other partners (e.g. pill when having sex with a acquainted/trustworthy person, condoms when having sex with less acquainted/well-known person),\nother. other reason",
      "maxValue": "other",
      "minValue": "barrier_if_partner_sick",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_method_combination_other",
      "description": "Other reason:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_calendar_abstinence",
      "description": "You have stated that you use a form of contraception in which you determine your fertile window. How do you normally behave when in your fertile window?",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_hormonal_pill",
      "description": "What is the name of your contraceptive pill?  In case you are taking a \"Replica with the identical active substances, generic drug...\" and it's missing in our list, you are welcome to state the trademark here.",
      "value": "other. My pill is not in the list.,\n28_mini. 28 mini ,\naida. Aida,\nalessia_hexal. Alessia HEXAL,\nasumate_20. Asumate 20,\nattempta_35. Attempta ratiopharm-35,\nbalanca. Balanca,\nbelara. Belara,\nbellahexal_35. BellaHexal-35,\nbellissima. Bellissima,\nbilmon. Bilmon,\nbiviol. Biviol,\nbonadea. BonaDea,\ncerazette. Cerazette ,\nchariva. Chariva,\nchloee. Chloee,\ncilest. Cilest,\nclevia. Clevia,\nconceplan_m. Conceplan M,\ncyprella. Cyprella ,\ncyproderm. Cyproderm,\ncypronette_al. Cypronette AL,\ndamara. Damara ,\ndaylette. Daylette,\ndesirett. Desirett,\ndesmin_20. Desmin  20,\ndesmin_30. Desmin  30,\ndiamilla. Diamilla,\ndiane_35. Diane-35,\nenriqa. Enriqa,\nergalea. Ergalea,\nestelle. Estelle,\neufem. eufem,\nevaluna_20. Evaluna 20,\nevaluna_30. Evaluna 30,\neve_20. EVE 20,\nfemigoa. Femigoa,\nfemigyne_ratiopharm. Femigyne-ratiopharm,\nfemikadin_20. Femikadin 20,\nfemikadin_30. Femikadin 30,\nfemovan. Femovan,\nfinic. Finic,\ngabrielle. Gabrielle,\ngravistat_125. Gravistat 125,\nillina. Illina,\njennifer. Jennifer,\njubrele. Jubrele ,\njuliane_20. Juliane 20,\njuliane_30. Juliane 30,\njuliette. Juliette,\nlamuna_20. Lamuna20,\nlamuna_30. Lamuna30,\nleios. Leios,\nleonahexal. LeonaHexal,\nlevina. Levina,\nlevomin. Levomin,\nliana. Liana,\nlilia. Lilia,\nlisette. Lisette,\nlovelle. Lovelle,\nmadinette. Madinette,\nmaitalon_20. Maitalon 20,\nmaitalon_30. Maitalon 30,\nmarvelon. Marvelon,\nmaxim. Maxim,\nmayra. mayra,\nmicrogynon. Microgynon,\nmicrolut. Microlut ,\nminette. Minette,\nminisiston. Minisiston,\nminisiston_20_fem. Minisiston 20 fem,\nminulet. Minulet,\nmiranova. Miranova,\nmonahexal. MonaHexal,\nmonostep. MonoStep,\nmorea_sanol. Morea sanol,\nneo_eunomin. Neo-Eunomin,\nnovastep. NovaStep,\nnovial. Novial ,\npetibelle. Petibelle,\npink_luna. Pink Luna,\npramino. Pramino,\nqlaira. Qlaira,\nseculact. Seculact,\nsynphasec. Synphasec,\ntrigoa. Trigoa,\ntrinovum. TriNovum,\ntriquilar. Triquilar,\ntrisiston. Trisiston,\nvalette. Valette,\nvatrice. Vatrice,\nvelafee. Velafee,\nverana. Verana,\nyasmin. Yasmin,\nyasminelle. Yasminelle,\nyaz. Yaz,\nzoely. Zoely",
      "maxValue": "zoely",
      "minValue": "28_mini",
      "@type": "propertyValue"
    },
    {
      "name": "other_pill_name",
      "description": "You have stated that your pill isn't on this list. Please state the name of your pill here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_hormonal_other",
      "description": "What hormonal contraceptive do you use?",
      "value": "nuvaring. NuvaRing,\ncirclet. Circlet,\nevra. Evra,\nmirena. Mirena,\ndepo_provera. Depo Provera,\ndepo_clinovir. Depo Clinovir,\nimplanon. Implanon NXT,\nother. My contraceptive is not in this list.",
      "maxValue": "other",
      "minValue": "circlet",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_hormonal_other_name",
      "description": "You have stated that your hormonal contraceptive isn't on this list. Please state the name of your hormonal contraceptive here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_pill_estrogen",
      "description": "Please look up how many mircograms (*µ*g) of oestrogen your pill contains by reading the package insert of your contraceptive pill. Most contraceptive pills contain between 0 and 50 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (*µ*g).",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_pill_gestagen_type",
      "description": "Please look up what type of gestagen is used in your contraceptive pill by reading the package insert.",
      "value": "CMA. Chlormadinonacetat,\nCPA. Cyproteronacetat,\nDNG. Dienogest,\nDSG. Desogestrel,\nDSP. Drospirenon,\nGSD. Gestoden,\nLYN. Lynestrenol,\nLNG. Levonorgestrel,\nNEA. Norethisteronacetat,\nNES. Norethisteron,\nNGT. Norgestimat,\nother_gestagen. Not in this list.",
      "maxValue": "other_gestagen",
      "minValue": "CMA",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_pill_gestagen",
      "description": "Please look up how many mircograms (*µ*g) of gestagen your pill contains by reading the package insert of your contraceptive pill. Most contraceptive pills contain between 50 and 3000 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (*µ*g).",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_estrogen",
      "description": "Please look up how many mircograms (*µ*g) of oestrogen your contraceptive contains by reading the package insert of your contraceptive. Most contraceptives contain between 0 and 50 micrograms of oestrogen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (*µ*g).",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_gestagen_type",
      "description": "Please look up what type of gestagen is used in your contraceptive by reading the package insert.",
      "value": "CMA. Chlormadinonacetat,\nCPA. Cyproteronacetat,\nDNG. Dienogest,\nDSG. Desogestrel,\nDSP. Drospirenon,\nGSD. Gestoden,\nLYN. Lynestrenol,\nLNG. Levonorgestrel,\nNEA. Norethisteronacetat,\nNES. Norethisteron,\nNGT. Norgestimat,\nother_gestagen. Not in this list.",
      "maxValue": "other_gestagen",
      "minValue": "CMA",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_gestagen",
      "description": "Please look up how many mircograms (*µ*g) of gestagen your contraceptive contains by reading the package insert of your contraceptive. Most contraceptives contain between 50 and 3000 micrograms of gestagen. In some instances the weight indication is made in milligrams (mg). You have to multiply this number by 1000 in order to recieve the weight indication in micrograms (*µ*g).",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_app",
      "description": "Do you use a cycle-app?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "contraception_app_name",
      "description": "What is this app called?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "hormonal_contraception_last3m",
      "description": "Have you used hormonal contraception in the last three months?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "contraception_meeting_partner",
      "description": "Where you using hormonal contraception (e.g. contraceptive pill) when you met your partner?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "self_rated_health",
      "description": "Please determine your general health at this moment in time.",
      "value": "1. very good,\n2. good,\n3. partly good/ partly poor,\n4. poor,\n5. very poor,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "height",
      "description": "Please state your height in cm (without shoes).",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "weight",
      "description": "Please state your weight in kg (without clothes).",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "hormonal_med",
      "description": "Have you taken any hormonal medication (besides contraception) in the last three months?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "hormonal_med_name",
      "description": "Which have you taken?",
      "value": "1. insulin,\n2. thyroxine,\n3. escitalopram,\n4. monk's pepper",
      "maxValue": "4",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "psychoactive_med",
      "description": "Do you take psychoactive medication (e.g. against depression)?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "psychoactive_med_name",
      "description": "Which do you take?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "alcohol_weekly",
      "description": "How many glasses of alcohol do you averagely ingest in a week?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "cigarettes_daily",
      "description": "How many cigaretts do you averagely smoke in a day?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sport_weekly",
      "description": "How many hours a week do you work out (causing you to sweat)?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sport_kinds",
      "description": "",
      "value": "1. running,\n2. swimming,\n3. fitness-/strenght training,\n4. aerobic (e.g. step aerobic, zumba),\n5. climbing,\n6. yoga,\n7. teamsports (volleyball, soccer...)",
      "maxValue": "7",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "meat_eating",
      "description": "Do you eat meat or animal products?",
      "value": "1_every_day. yes, a great deal,\n2_frequently. yes, frequently,\n3_rarely. yes, seldomly,\n4_only_poultry. only poultry,\n5_only_fish. only fish,\n6_vegetarian. no, vegetarian,\n7_vegan. no, vegan",
      "maxValue": "7_vegan",
      "minValue": "1_every_day",
      "@type": "propertyValue"
    },
    {
      "name": "menarche",
      "description": "How old were you when you had your first period?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "menarche_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure\n,\n2. ±0.5 years,\n3. ±1 year,\n4. ±2 years,\n5. ±3 years,\n6. ±4 years,\n7. more doubtful\n,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "number_sexual_partner",
      "description": "With how many people have you had sexual intercourse with throughout your life?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "number_sexual_partner_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure\n,\n2. NA,\n3. NA,\n4. NA,\n5. NA,\n6. NA,\n7. NA,\n8. more doubtful\n,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "first_time",
      "description": "How old were you when you had sex for the first time?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "first_time_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure\n,\n2. ±0.5 years,\n3. ±1 year,\n4. ±2 years,\n5. ±3 years,\n6. ±4 years,\n7. more doubtful\n,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "mother_menopause_yes",
      "description": "Has your mother reached her menopause?",
      "value": "1. Yes,\n2. No, she's currently in her menopause.,\n3. No, not yet.,\n4. No, she died before she could have had it.,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "mother_menopause_age",
      "description": "How old was your mother when her menopause began? *If you can't name the point of time exactly, try to remember when it was that your mother expressed having typical menopausal symptoms (hot flashes etc.). Idealy try to ask your mother (via telephone), but you are free to carry on without doing this if it's not possible at the moment.*",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "mother_menopause_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure (I asked her),\n2. ±0.5 years,\n3. ±1 year,\n4. ±2 years,\n5. ±3 years,\n6. ±4 years,\n7. more doubtful (I guessed),\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menopause_yes",
      "description": "Have you reached menopause?",
      "value": "1. Yes,\n2. No, I'm currently in my menopause.,\n3. No, not yet.,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menopause_age",
      "description": "How old were you when your menopause began?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "menopause_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure,\n2. ±0.5 years,\n3. ±1 year,\n4. ±2 years,\n5. ±3 years,\n6. ±4 years,\n7. ±7 years,\n8. more doubtful,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_regular",
      "description": "Do you currently have a regular period (roughly every month)?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_last",
      "description": "Please state the first day (start) of your last period. If possible check the date in your calendar.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_last_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure,\n2. ±1 day,\n3. ±2 days,\n4. ±3 days,\n5. ±4 days,\n6. ±5 days,\n7. ±6 days,\n8. more doubtful,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_length",
      "description": "How long does your menstrual cycle last (amout of days between the start of one period to the next; mostly between 25-35 days)?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_length_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure,\n2. ±1 day,\n3. ±2 days,\n4. ±3 days,\n5. ±4 days,\n6. ±5 days,\n7. ±6 days,\n8. more doubtful,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_regularity",
      "description": "How regular has your period been in the last three months?",
      "value": "1. completely (no fluctuations),\n2. Very (max. 1-2 days fluctuation),\n3. Somewhat (3-5 days fluctuation)\n,\n4. Hardly (more than 5 days fluctuation),\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 4,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_regularity_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. completely sure,\n2. ±1 days,\n3. ±2 days,\n4. ±3 days,\n5. ±4 days,\n6. ±5 days,\n7. ±6 days,\n8. more doubtful,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "free_not_covered",
      "description": "In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "hetero_relationship",
      "description": "",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    },
    {
      "name": "ended_date",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_pill_estrogen",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_pill_gestagen",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_other_pill_gestagen_type",
      "@type": "propertyValue"
    },
    {
      "name": "hormonal_contraception",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_method_broad",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_hormonal_pill_estrogen",
      "@type": "propertyValue"
    },
    {
      "name": "contraception_hormonal_pill_gestagen_type",
      "@type": "propertyValue"
    },
    {
      "name": "estrogen_progestogen",
      "@type": "propertyValue"
    },
    {
      "name": "living_situation",
      "@type": "propertyValue"
    }
  ]
}`

Personality

Metadata

Description

Dataset name: s2_initial

The dataset has N=1512 rows and 191 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session created modified ended expired bfi_open_1 narq_5 narq_3 bfi_agree_2 pvd_infectability_1 bfi_consc_2r soi_r_attitude_6r asendorpf_shyness_4r bfi_neuro_2r bfi_open_2 bfi_extra_1 bfi_extra_3 bfi_agree_3r soi_r_attitude_4 narq_15 bfi_consc_3 soi_r_attitude_5 narq_2 asendorpf_shyness_2 bfi_agree_1r bfi_consc_1 narq_11 bfi_neuro_1 bfi_extra_2r bfi_neuro_3 narq_18 bfi_open_3 asendorpf_shyness_5 bfi_extra_4 narq_16 bfi_agree_4 bfi_consc_9r bfi_neuro_4 bfi_open_4 bfi_extra_5r bfi_agree_5 narq_1 bfi_consc_4r bfi_neuro_5r bfi_open_5 bfi_extra_6 narq_14 bfi_agree_6r bfi_consc_5 asendorpf_shyness_3r pvd_germ_aversion_2 pvd_germ_aversion_3R bfi_neuro_8 pvd_infectability_3R pvd_germ_aversion_1 feel_safe_walking_dark feel_safe_violent_crime feel_safe_sexual_assault feel_safe_theft bfi_open_6 narq_17 bfi_extra_7r bfi_agree_7 narq_4 asendorpf_shyness_1 bfi_consc_6 bfi_neuro_6r bfi_open_7r narq_13 bfi_extra_8 bfi_agree_8r narq_6 bfi_consc_7 bfi_neuro_7 narq_7 bfi_open_8 narq_12 bfi_open_9r bfi_agree_9 narq_8 bfi_consc_8r narq_9 narq_10 bfi_open_10 pvd_infectability_2 pvd_germ_aversion_4R spms_partner_1 spms_partner_2 spms_partner_3R satisfaction_sexual_intercourse satisfaction_single_life investment_potential_partner timeperiod_potential_partner characteristics_potential_partner quantity_potential_partner sexual_partner fling_frequency fling_frequency_2 relationship_importance relationship_importance_partner partner_attractiveness_longterm partner_attractiveness_shortterm partner_attractiveness_face partner_attractiveness_body attractiveness_warmth partner_attractiveness_trust net_income_partner partner_sexiness partner_strength partner_feel_safe spms_self_1 spms_self_2 spms_self_3R meet_potential_partner partner_height meet_potential_partner_other partner_weight soi_r_behavior_1 soi_r_behavior_2 soi_r_behavior_3 soi_r_desire_9 soi_r_desire_7 soi_r_desire_8 relationship_problems relationship_satisfaction_overall relationship_conflict relationship_satisfaction_2 relationship_satisfaction_3 alternatives_1 alternatives_2 alternatives_3 alternatives_4 alternatives_5 alternatives_6 investment_1 investment_2 investment_3 commitment_1 commitment_2 commitment_3 communal_strength_1 communal_strength_2R communal_strength_3 communal_strength_4 sexual_communal_strength_1 sexual_communal_strength_2 sexual_communal_strength_3 ecr_avo_1R ecr_anx_1 ecr_avo_2 ecr_anx_2 ecr_anx_3 ecr_avo_3R ecr_avo_4 ecr_anx_4R ecr_avo_5R ecr_anx_5 ecr_avo_6 ecr_anx_6 free_not_covered narq bfi_open bfi_extra bfi_agree soi_r_attitude bfi_consc asendorpf_shyness bfi_neuro pvd_germ_aversion pvd_infectability spms_partner spms_self relationship_satisfaction alternatives investment commitment communal_strength sexual_communal_strength ecr_avo ecr_anx short soi_r_desire soi_r_behavior_1_discrete soi_r_behavior_2_discrete soi_r_behavior_3_discrete soi_r_behavior soi_r spms_rel partner_attractiveness_sexual relationship_conflict_R relationship_problems_R

Survey overview

1411 completed rows, 1484 who entered any information, 28 only viewed the first page. There are 13 expired rows (people who did not finish filling out in the requested time frame). In total, there are 1512 rows including unfinished and expired rows.

There were 1512 unique participants, of which 1411 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2016-05-02 21:46:49, the last session on 2017-01-14 22:45:37.

Starting date times

People took on average 1217.46 minutes (median 14.4) to answer the survey.

Duration people took for answering the survey

#Variables

feel_safe_walking_dark

I feel safe in my neighbourhood when I am out and about alone at night.

Distribution

Distribution of values for feel_safe_walking_dark

93 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
feel_safe_walking_dark	I feel safe in my neighbourhood when I am out and about alone at night.	haven_labelled	93	0.9385	1	4	5	3.429	1.21	6	▂▅▁▅▁▇▁▅

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

feel_safe_violent_crime

I feel safe from violent crimes in my neighbourhood.

Distribution

Distribution of values for feel_safe_violent_crime

93 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
feel_safe_violent_crime	I feel safe from violent crimes in my neighbourhood.	haven_labelled	93	0.9385	1	4	5	3.82	1.042	6	▁▂▁▃▁▇▁▆

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

feel_safe_sexual_assault

I feel safe from sexual assaults in my neighbourhood.

Distribution

Distribution of values for feel_safe_sexual_assault

93 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
feel_safe_sexual_assault	I feel safe from sexual assaults in my neighbourhood.	haven_labelled	93	0.9385	1	4	5	3.858	1.032	6	▁▂▁▃▁▇▁▆

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

feel_safe_theft

I feel safe from theft in my neighbourhood.

Distribution

Distribution of values for feel_safe_theft

93 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
feel_safe_theft	I feel safe from theft in my neighbourhood.	haven_labelled	93	0.9385	1	4	5	3.692	1.081	6	▁▂▁▅▁▇▁▅

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

satisfaction_sexual_intercourse

The sex with my partner is very satisfying.

Distribution

Distribution of values for satisfaction_sexual_intercourse

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
satisfaction_sexual_intercourse	The sex with my partner is very satisfying.	haven_labelled	570	0.623	1	4	5	3.996	1.064	7	▁▁▁▃▁▆▁▇

Missing value types

Plot of missing values for satisfaction_sexual_intercourse

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

satisfaction_single_life

I am happy with my single life.

Distribution

Distribution of values for satisfaction_single_life

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
satisfaction_single_life	I am happy with my single life.	haven_labelled	1041	0.3115	1	3	5	3.076	1.164	7	▂▇▁▇▁▇▁▃

Missing value types

Plot of missing values for satisfaction_single_life

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

investment_potential_partner

I invest a lot in order to get to know someone.

Distribution

Distribution of values for investment_potential_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
investment_potential_partner	I invest a lot in order to get to know someone.	haven_labelled	1041	0.3115	1	2	5	2.501	1.139	7	▆▇▁▆▁▅▁▁

Missing value types

Plot of missing values for investment_potential_partner

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

timeperiod_potential_partner

I am currently looking for the following kind of partnership.

Distribution

Distribution of values for timeperiod_potential_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
timeperiod_potential_partner	I am currently looking for the following kind of partnership.	haven_labelled	1041	0.3115	4	0	4	NA	11	0	4

Value labels

Response choices

name	value
1	no_interest
2	one_night
3	short
4	long

characteristics_potential_partner

A partner that I would some to question should have following traits.

Distribution

Distribution of values for characteristics_potential_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
characteristics_potential_partner	A partner that I would some to question should have following traits.	haven_labelled	1041	0.3115	101	0	5	NA	95	0	9

Value labels

Response choices

name	value
1	body
2	face
3	money
4	social_status
5	intelligence
6	humor
7	creativity
8	trustworthiness
9	personality

quantity_potential_partner

There are many acceptable singles in my surrounding area.

Distribution

Distribution of values for quantity_potential_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
quantity_potential_partner	There are many acceptable singles in my surrounding area.	haven_labelled	1041	0.3115	1	3	5	2.639	1.144	7	▅▇▁▆▁▅▁▂

Missing value types

Plot of missing values for quantity_potential_partner

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

sexual_partner

If I am sexually active then usually with men…

Distribution

Distribution of values for sexual_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sexual_partner	If I am sexually active then usually with men…	haven_labelled	1041	0.3115	4	0	3	NA	10	0	4

Value labels

Response choices

name	value
1	longterm
2	friends
3	met_before
4	new

fling_frequency

In a month I averagely have sexual contact with another person about this often.

Distribution

Distribution of values for fling_frequency

1041 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for fling_frequency

Item

Item options

type	name	label	optional	showif	value	item_order
number	fling_frequency	Im Monat habe ich durchschnittlich etwa so oft sexuellen Kontakt zu einer anderen Person.	0	s1_demo$hetero_relationship == 0		82

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

fling_frequency_2

In a month I averagley have the possibility of having sexual contact with another person about this often.

Distribution

Distribution of values for fling_frequency_2

1041 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for fling_frequency_2

Item

Item options

type	name	label	optional	showif	value	item_order
number	fling_frequency_2	Im Monat habe ich durchschnittlich etwa so oft die Möglichkeit zu sexuellen Kontakt zu einer anderen Person.	0	s1_demo$hetero_relationship == 0		82

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

relationship_importance

The relationship with my partner is very important to me.

Distribution

Distribution of values for relationship_importance

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_importance	The relationship with my partner is very important to me.	haven_labelled	570	0.623	1	5	5	4.634	0.7117	7	▁▁▁▁▁▂▁▇

Missing value types

Plot of missing values for relationship_importance

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

relationship_importance_partner

The relationship with me is very important to my partner.

Distribution

Distribution of values for relationship_importance_partner

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_importance_partner	The relationship with me is very important to my partner.	haven_labelled	570	0.623	1	5	5	4.624	0.7149	7	▁▁▁▁▁▂▁▇

Missing value types

Plot of missing values for relationship_importance_partner

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_attractiveness_longterm

Mein Partner ist sehr attraktiv für eine langfristige Beziehung (z.B. als möglicher Ehepartner).

Distribution

Distribution of values for partner_attractiveness_longterm

570 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for partner_attractiveness_longterm

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
rating_button	5 agree	attractiveness_ltp	Mein Partner ist sehr attraktiv für eine langfristige Beziehung (z.B. als möglicher Ehepartner).	0	s1_demo$hetero_relationship == 1		82

Value labels

Response choices

name	value
1: trifft gar nicht zu	1
2	2
3	3
4	4
5: trifft völlig zu	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

attractiveness_warmth

I feel very secure when I am with my partner.

Distribution

Distribution of values for attractiveness_warmth

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
attractiveness_warmth	I feel very secure when I am with my partner.	haven_labelled	570	0.623	1	5	5	4.54	0.7891	7	▁▁▁▁▁▂▁▇

Missing value types

Plot of missing values for attractiveness_warmth

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_attractiveness_trust

Das Vertrauen zwischen meinem Partner und mir ist sehr stark.

Distribution

Distribution of values for partner_attractiveness_trust

570 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for partner_attractiveness_trust

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
rating_button	5 agree	attractiveness_trustworthiness	Das Vertrauen zwischen meinem Partner und mir ist sehr stark.	0	s1_demo$hetero_relationship == 1		82

Value labels

Response choices

name	value
1: trifft gar nicht zu	1
2	2
3	3
4	4
5: trifft völlig zu	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

net_income_partner

What amount of money does your partner have at his disposal every month (netto)?

Distribution

Distribution of values for net_income_partner

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
net_income_partner	What amount of money does your partner have at his disposal every month (netto)?	haven_labelled	570	0.623	7	0	9	NA	14	0	7

Value labels

Response choices

name	value
1	euro_lt_500
2	euro_500_1000
3	euro_1000_2000
4	euro_2000_3000
5	euro_gt_3000
6	dont_know
7	dont_tell

partner_strength

My partner is physically stronger than a lot of other men.

Distribution

Distribution of values for partner_strength

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_strength	My partner is physically stronger than a lot of other men.	haven_labelled	570	0.623	1	3	5	3.074	1.202	7	▃▆▁▇▁▇▁▃

Missing value types

Plot of missing values for partner_strength

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

partner_feel_safe

My partner makes my feel very safe.

Distribution

Distribution of values for partner_feel_safe

570 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_feel_safe	My partner makes my feel very safe.	haven_labelled	570	0.623	1	5	5	4.487	0.8294	7	▁▁▁▁▁▃▁▇

Missing value types

Plot of missing values for partner_feel_safe

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

meet_potential_partner

I do the following in order to get to know a potential partner.

Distribution

Distribution of values for meet_potential_partner

1041 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
meet_potential_partner	I do the following in order to get to know a potential partner.	haven_labelled	1041	0.3115	56	0	5	NA	62	0	9

Value labels

Response choices

name	value
1	no_interest
2	dating_app
3	online_dating
4	contact_ad
5	going_out
6	sports
7	social_networks
8	friends
9	other

partner_height

What is the height of your partner (in cm)?

Distribution

Distribution of values for partner_height

570 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for partner_height

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	80,230	partner_height	Was ist die Körpergröße Ihres Partners in cm (ohne Schuhe)?	0	s1_demo$hetero_relationship == 1		83

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

meet_potential_partner_other

Other:

Distribution

Distribution of values for meet_potential_partner_other

1505 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
meet_potential_partner_other	Other:	text	character	0	meet_potential_partner == ‘other’		84	1505	0.0046	7	0	3	85	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	meet_potential_partner_other	Andere:	0	meet_potential_partner == ‘other’		84

Value labels

Response choices

name	value

partner_weight

What is the weight of your partner in kg (without clothes)?

Distribution

Distribution of values for partner_weight

570 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for partner_weight

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	40,200	partner_weight	Was ist das Gewicht Ihres Partners in kg (ohne Kleidung)?	0	s1_demo$hetero_relationship == 1		84

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

soi_r_behavior_1

With how many different people have you had sexual intercourse in the last 12 months?

Distribution

Distribution of values for soi_r_behavior_1

101 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	name	label	optional	showif	value	item_order
number	soi_r_behavior_1	Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt?	0			117

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

soi_r_behavior_2

With how many different people have you had sexualy intercourse with only once in your life?

Distribution

Distribution of values for soi_r_behavior_2

101 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	name	label	optional	showif	value	item_order
number	soi_r_behavior_2	Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt?	0			117

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

soi_r_behavior_3

How many different people have you had sexual intercourse with, without being interested in having a long-term relationship with that person?

Distribution

Distribution of values for soi_r_behavior_3

101 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	name	label	optional	showif	value	item_order
number	soi_r_behavior_3	Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben?	0			117

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

relationship_problems

There are many problems in my relationship.

Distribution

Distribution of values for relationship_problems

572 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_problems	There are many problems in my relationship.	haven_labelled	572	0.6217	1	2	5	2.137	1.16	7	▇▇▁▃▁▂▁▁

Missing value types

Plot of missing values for relationship_problems

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

relationship_conflict

There are often quarrels/disagreements in my partnership.

Distribution

Distribution of values for relationship_conflict

572 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_conflict	There are often quarrels/disagreements in my partnership.	haven_labelled	572	0.6217	1	2	5	2.311	1.153	7	▇▇▁▅▁▃▁▁

Missing value types

Plot of missing values for relationship_conflict

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

free_not_covered

In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here. <small>optional</small>

Distribution

Distribution of values for free_not_covered

1419 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
free_not_covered	In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here. <small>optional</small>	textarea	character	1			160	1419	0.0615	93	0	1	698	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	free_not_covered	Falls Fragen für Sie nicht oder nur falsch beantwortbar waren, oder Sie ansonsten den Eindruck haben, dass uns hier etwas wichtiges entging, geben Sie es bitte in diesem offenen Feld an. <small>optional</small>	1			160

Value labels

Response choices

name	value

Scale: narq

Overview

Reliability: ω_ordinal [95% CI] = 0.86 [0.85;0.87].

Missing: 93.

Likert plot of scale narq items

Distribution of scale narq

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	narq_5, narq_3, narq_15, narq_2, narq_11, narq_18, narq_16, narq_1, narq_14, narq_17, narq_4, narq_13, narq_6, narq_7, narq_12, narq_8, narq_9 & narq_10
Observations:	1419
Positive correlations:	145
Number of correlations:	153
Percentage positive correlations:	95

Estimates assuming interval level

Omega (total):	0.84
Omega (hierarchical):	0.51
Revelle’s Omega (total):	0.88
Greatest Lower Bound (GLB):	0.90
Coefficient H:	0.85
Coefficient Alpha:	0.84

Confidence intervals

Omega (total):	[0.83; 0.85]
Coefficient Alpha	[0.82; 0.85]

Estimates assuming ordinal level

Ordinal Omega (total):	0.86
Ordinal Omega (hierarch.):	0.82
Ordinal Coefficient Alpha:	0.87

Confidence intervals

Ordinal Omega (total):	[0.85; 0.87]
Ordinal Coefficient Alpha	[0.86; 0.88]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.877, 2.757, 1.394, 1.095, 0.974, 0.801, 0.736, 0.701, 0.669, 0.609, 0.578, 0.503, 0.465, 0.463, 0.394, 0.352, 0.329 & 0.305

Factor analysis (reproducing only shared variance)

	ML1	ML4	ML3	ML2
narq_5	0.248	0.366	-0.081	0.020
narq_3	0.107	0.565	-0.095	0.117
narq_15	-0.027	0.691	0.021	0.008
narq_2	0.027	0.388	0.118	0.129
narq_11	0.420	-0.053	-0.025	-0.034
narq_18	-0.092	0.076	-0.028	0.514
narq_16	0.047	0.189	-0.019	0.662
narq_1	-0.061	0.692	-0.031	-0.027
narq_14	0.060	-0.083	0.459	0.029
narq_17	-0.007	0.046	0.855	0.002
narq_4	0.548	0.073	0.021	0.063
narq_13	0.030	-0.028	0.781	0.004
narq_6	0.797	-0.033	-0.015	-0.029
narq_7	-0.008	-0.072	0.029	0.855
narq_12	0.535	0.007	-0.042	0.178
narq_8	0.037	0.641	0.131	0.023
narq_9	0.765	-0.015	0.028	-0.032
narq_10	0.631	0.063	0.100	-0.028

Component analysis (reproducing full covariance matrix)

	TC1	TC2	TC3	TC4
narq_5	0.240	0.599	-0.133	-0.115
narq_3	0.142	0.577	-0.127	0.219
narq_15	-0.033	0.698	0.021	0.118
narq_2	0.010	0.404	0.185	0.230
narq_11	0.627	-0.135	-0.101	-0.034
narq_18	-0.092	0.037	-0.010	0.706
narq_16	0.082	0.232	0.015	0.699
narq_1	-0.121	0.788	-0.032	0.010
narq_14	-0.035	-0.150	0.731	0.076
narq_17	0.049	0.061	0.825	0.013
narq_4	0.729	-0.025	0.002	0.143
narq_13	0.038	0.001	0.830	-0.011
narq_6	0.691	0.116	0.127	-0.181
narq_7	0.031	0.028	0.062	0.817
narq_12	0.737	-0.121	-0.067	0.299
narq_8	0.021	0.645	0.173	0.123
narq_9	0.663	0.122	0.172	-0.167
narq_10	0.613	0.146	0.205	-0.115

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
narq_5	3.69767441860465	4	0.971299242299997	0.985545149802888	1	0.0261628666254947	1	3	5	5	-0.441620454841714	-0.391039013913282	0.132840028188865	1419	0	1419
narq_3	2.72797744890768	3	1.08533095576754	1.04179218453948	1	0.0276560338012321	1	2	4	5	0.0590173018996267	-0.712225429009423	0.148343904157858	1419	0	1419
narq_15	2.74489076814658	3	1.23670695209384	1.11207326741265	2	0.0295217571502576	1	2	4	5	0.102532850953908	-0.787897328649723	0.140239605355884	1419	0	1419
narq_2	1.6814658210007	1	0.799733816003045	0.894278377242258	1	0.0237400446996593	1	NA	2	5	1.26743696571477	1.07344688038982	0.140944326990839	1419	0	1419
narq_11	2.95137420718816	3	1.07168181967277	1.03522066230962	2	0.0274815822708678	1	2	4	5	0.0629204773948583	-0.714527563706265	0.148343904157858	1419	0	1419
narq_18	3.14023960535588	3	0.889345781758942	0.943051314488741	1	0.025034800046351	1	2	4	5	-0.181440966587617	-0.222975211538846	0.146582100070472	1419	0	1419
narq_16	2.67441860465116	3	1.16472594876505	1.07922469799623	1	0.0286497395256445	1	2	4	5	0.141661818809007	-0.734389822854693	0.150105708245243	1419	0	1419
narq_1	2.97885835095137	3	1.12790250389883	1.0620275438513	2	0.0281932136624492	1	2	4	5	-0.0710697895635157	-0.453617785647023	0.11169837914024	1419	0	1419
narq_14	1.10852713178295	1	0.172980833360667	0.415909645669185	0	0.0110409843628939	1	NA	2	5	4.59713221965587	24.6656865134064	0.0260747004933051	1419	0	1419
narq_17	1.46723044397463	1	0.628509319918773	0.79278579699612	1	0.0210457624123505	1	NA	2	5	1.81281265549157	3.08135634069116	0.101127554615927	1419	0	1419
narq_4	2.02748414376321	2	1.08316510464967	1.04075218214985	2	0.0276284252803892	1	1	3	5	0.824629655574526	-0.127441250308918	0.171952078928823	1419	0	1419
narq_13	1.67512332628612	1	0.871108500294711	0.933331934680642	1	0.0247767836199573	1	NA	2	5	1.31816874619511	1.05068045797274	0.12015503875969	1419	0	1419
narq_6	2.54122621564482	2	1.57992825556049	1.25695197026795	3	0.0333677932049591	1	1	4	5	0.376042962170525	-0.962607258961765	0.126849894291755	1419	0	1419
narq_7	3.00070472163495	3	1.04301783870124	1.02128244805306	2	0.0271115701606515	1	2	4	5	-0.0769894738538039	-0.457500125874986	0.124383368569415	1419	0	1419
narq_12	1.75968992248062	2	0.830080580794	0.91108758129721	1	0.0241862718094557	1	1	3	5	1.1703057167437	0.890261941928853	0.167371388301621	1419	0	1419
narq_8	2.24242424242424	2	1.17532162243023	1.08412251264801	2	0.0287797598210278	1	1	3	5	0.465402337969955	-0.615637460736991	0.140591966173362	1419	0	1419
narq_9	2.05426356589147	2	1.27138343118925	1.12755639822993	2	0.0299327815326501	1	1	3	5	0.845004882000305	-0.225588617252515	0.140239605355884	1419	0	1419
narq_10	2.07117688513037	2	1.25938725994487	1.12222424672829	2	0.029791231073402	1	1	3	5	0.777093465856214	-0.434429447887318	0.145172656800564	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
narq_5	I enjoy my successes very much.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.687	0.9881	6	▁▂▁▆▁▇▁▅
narq_3	I show other how special I am.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.728	1.0411	6	▃▇▁▇▁▅▁▁
narq_15	Being a very special person gives me a lot of strength.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.742	1.1093	6	▃▇▁▇▁▆▁▂
narq_2	I will someday be famous.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	1	5	1.681	0.8954	6	▇▅▁▂▁▁▁▁
narq_11	I often get annoyed when I am criticized.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.949	1.0344	6	▂▇▁▇▁▆▁▂
narq_18	Mostly, I am very adept at dealing with other people.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	3.143	0.9427	6	▁▃▁▇▁▆▁▁
narq_16	I manage to be the center of attention with my outstanding contributions.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	2.678	1.0777	6	▃▇▁▇▁▅▁▁
narq_1	I am great.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	2.978	1.0576	6	▂▃▁▇▁▅▁▂
narq_14	Other people are worth nothing.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	1	5	1.109	0.4168	6	▇▁▁▁▁▁▁▁
narq_17	Most people are somehow losers.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	1	5	1.467	0.7928	6	▇▂▁▁▁▁▁▁
narq_4	I react annoyed if another person steals the show from me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.027	1.0408	6	▇▇▁▃▁▂▁▁
narq_13	Most people won’t achieve anything.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	1	5	1.675	0.9333	6	▇▃▁▂▁▁▁▁
narq_6	I secretly take pleasure in the failures of my rivals.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.541	1.2570	6	▇▇▁▆▁▅▁▂
narq_7	Most of the time I am able to draw people’s attention to myself in conversations.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	3.001	1.0213	6	▂▅▁▇▁▅▁▂
narq_12	I can barely stand it if another person is at the center of events.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	1.760	0.9111	6	▇▆▁▂▁▁▁▁
narq_8	I deserve to be seen as a great personality.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.242	1.0841	6	▇▇▁▇▁▂▁▁
narq_9	I want my rivals to fail.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.054	1.1276	6	▇▆▁▃▁▂▁▁
narq_10	I enjoy it when another person is inferior to me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.071	1.1222	6	▇▆▁▃▁▂▁▁

Scale: bfi_open

Overview

Reliability: ω_ordinal [95% CI] = 0.85 [0.84;0.86].

Missing: 93.

Likert plot of scale bfi_open items

Distribution of scale bfi_open

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	bfi_open_1, bfi_open_2, bfi_open_3, bfi_open_4, bfi_open_5, bfi_open_6, bfi_open_7r, bfi_open_8, bfi_open_9r & bfi_open_10
Observations:	1419
Positive correlations:	45
Number of correlations:	45
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.82
Omega (hierarchical):	0.68
Revelle’s Omega (total):	0.86
Greatest Lower Bound (GLB):	0.86
Coefficient H:	0.84
Coefficient Alpha:	0.82

Confidence intervals

Omega (total):	[0.8; 0.83]
Coefficient Alpha	[0.8; 0.83]

Estimates assuming ordinal level

Ordinal Omega (total):	0.85
Ordinal Omega (hierarch.):	0.85
Ordinal Coefficient Alpha:	0.85

Confidence intervals

Ordinal Omega (total):	[0.84; 0.86]
Ordinal Coefficient Alpha	[0.84; 0.86]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.872, 1.352, 0.973, 0.883, 0.692, 0.567, 0.56, 0.497, 0.311 & 0.293

Factor analysis (reproducing only shared variance)

	ML1	ML2
bfi_open_1	0.820	-0.055
bfi_open_2	0.253	0.275
bfi_open_3	0.215	0.234
bfi_open_4	0.553	0.149
bfi_open_5	0.863	-0.021
bfi_open_6	-0.001	0.802
bfi_open_7r	0.268	0.036
bfi_open_8	0.502	0.182
bfi_open_9r	-0.009	0.853
bfi_open_10	0.022	0.609

Component analysis (reproducing full covariance matrix)

	TC1	TC2
bfi_open_1	0.858	-0.081
bfi_open_2	0.347	0.315
bfi_open_3	0.288	0.302
bfi_open_4	0.655	0.117
bfi_open_5	0.858	-0.028
bfi_open_6	0.002	0.851
bfi_open_7r	0.454	-0.073
bfi_open_8	0.645	0.149
bfi_open_9r	0.024	0.854
bfi_open_10	-0.042	0.785

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
bfi_open_1	3.40803382663848	4	1.03578872664057	1.01773706164243	1	0.0270174522282406	1	3	5	5	-0.390767425608948	-0.345781846260282	0.15292459478506	1419	0	1419
bfi_open_2	4.24524312896406	4	0.688755564965097	0.829912986381763	1	0.0220313628227126	1	3	5	5	-1.0396439373525	0.872050032518053	0.195207892882311	1419	0	1419
bfi_open_3	4.29175475687104	5	0.728641417951616	0.853604954268434	1	0.0226603038672081	1	4	NA	5	-1.08727222413103	0.522611337685383	0.166666666666667	1419	0	1419
bfi_open_4	4.00211416490486	4	1.03031992771882	1.01504676134591	2	0.0269460339194452	1	3	5	5	-0.8915377187735	0.177320272044884	0.17723749119098	1419	0	1419
bfi_open_5	3.49189570119803	4	1.02161974651888	1.01075206975741	1	0.0268320244869499	1	3	5	5	-0.373864554773889	-0.337345707247325	0.155038759689922	1419	0	1419
bfi_open_6	3.97181113460183	4	1.13601723933997	1.06584109478851	2	0.0282944504495813	1	3	5	5	-0.916727479091988	0.134314901906509	0.169485553206483	1419	0	1419
bfi_open_7r	3.39464411557435	3	1.18406156225555	1.08814592875016	1	0.0288865678134171	1	2	4	5	-0.297649579752449	-0.617118281579566	0.145525017618041	1419	0	1419
bfi_open_8	3.95560253699789	4	0.914106459683263	0.956089148397399	2	0.025380910125332	1	3	5	5	-0.754910786061553	0.0768393133009771	0.162790697674419	1419	0	1419
bfi_open_9r	3.99929527836505	4	1.29830697833453	1.13943274410319	2	0.0302480580607144	1	3	5	5	-0.963895025126894	-0.0521401859214166	0.139887244538407	1419	0	1419
bfi_open_10	3.05778717406624	3	1.27733529740943	1.13019259306077	2	0.0300027635256333	1	2	4	5	-0.09895213483261	-0.770743981787494	0.137420718816068	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
bfi_open_1	I see myself as someone who is original, comes up with new ideas.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.406	1.0195	6	▁▃▁▆▁▇▁▃
bfi_open_2	I see myself as someone who is curious about many different things.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	4.246	0.8279	6	▁▁▁▂▁▇▁▇
bfi_open_3	I see myself as someone who is ingenious, a deep thinker.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	5	5	4.293	0.8522	6	▁▁▁▂▁▅▁▇
bfi_open_4	I see myself as someone who has an active imagination.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	4	5	3.998	1.0148	6	▁▂▁▃▁▇▁▇
bfi_open_5	I see myself as someone who is inventive.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	4	5	3.491	1.0089	6	▁▃▁▇▁▇▁▃
bfi_open_6	I see myself as someone who values artistic, aesthetic experiences.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	3.972	1.0658	6	▁▂▁▃▁▇▁▇
bfi_open_7r	I see myself as someone who preferes work that is routine.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	3.395	1.0881	6	▁▃▁▇▁▇▁▃
bfi_open_8	I see myself as someone who likes to reflect, play with ideas.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	3.956	0.9561	6	▁▂▁▃▁▇▁▆
bfi_open_9r	I see myself as someone who has few artistic interests.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	3.999	1.1394	6	▁▂▁▂▁▅▁▇
bfi_open_10	I see myself as someone who is sophisticated in art, music and/or literature.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	3.058	1.1302	6	▂▆▁▇▁▇▁▂

Scale: bfi_extra

Overview

Reliability: ω_ordinal [95% CI] = 0.9 [0.89;0.9].

Missing: 93.

Likert plot of scale bfi_extra items

Distribution of scale bfi_extra

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	bfi_extra_1, bfi_extra_3, bfi_extra_2r, bfi_extra_4, bfi_extra_5r, bfi_extra_6, bfi_extra_7r & bfi_extra_8
Observations:	1419
Positive correlations:	28
Number of correlations:	28
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.88
Omega (hierarchical):	0.77
Revelle’s Omega (total):	0.90
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.90
Coefficient Alpha:	0.88

Confidence intervals

Omega (total):	[0.87; 0.89]
Coefficient Alpha	[0.87; 0.89]

Estimates assuming ordinal level

Ordinal Omega (total):	0.90
Ordinal Omega (hierarch.):	0.88
Ordinal Coefficient Alpha:	0.89

Confidence intervals

Ordinal Omega (total):	[0.89; 0.9]
Ordinal Coefficient Alpha	[0.89; 0.9]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.327, 0.946, 0.662, 0.584, 0.492, 0.374, 0.328 & 0.286

Factor analysis (reproducing only shared variance)

	ML1
bfi_extra_1	0.761
bfi_extra_3	0.522
bfi_extra_2r	0.801
bfi_extra_4	0.584
bfi_extra_5r	0.800
bfi_extra_6	0.474
bfi_extra_7r	0.683
bfi_extra_8	0.823

Component analysis (reproducing full covariance matrix)

	PC1
bfi_extra_1	0.782
bfi_extra_3	0.616
bfi_extra_2r	0.819
bfi_extra_4	0.672
bfi_extra_5r	0.811
bfi_extra_6	0.573
bfi_extra_7r	0.727
bfi_extra_8	0.836

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
bfi_extra_1	3.79985905567301	4	1.06569814655228	1.03232656972117	2	0.0274047539709076	1	3	5	5	-0.617076468950068	-0.252024227290298	0.144115574348132	1419	0	1419
bfi_extra_3	3.43128964059197	3	0.875917306035061	0.935904538954193	1	0.0248450775002555	1	2	4	5	-0.231640977780597	-0.231078630486507	0.178646934460888	1419	0	1419
bfi_extra_2r	3.27554615926709	3	1.33516322406669	1.15549263263194	2	0.0306743933957135	1	2	4	5	-0.202204762350853	-0.871710491165895	0.125792811839323	1419	0	1419
bfi_extra_4	3.71176885130374	4	1.02758354032668	1.01369795320237	1	0.0269102276577333	1	3	5	5	-0.60411549538113	-0.138748326473191	0.116983791402396	1419	0	1419
bfi_extra_5r	3.77096546863989	4	1.27825372165583	1.13059883321001	2	0.0300135478178035	1	3	5	5	-0.644319889395021	-0.4435887366287	0.156448202959831	1419	0	1419
bfi_extra_6	3.36645525017618	3	1.06025618470267	1.02968742087231	1	0.0273346935588084	1	2	4	5	-0.288935950107599	-0.506672382878023	0.154686398872445	1419	0	1419
bfi_extra_7r	2.68428470754052	2	1.51097288362352	1.22921636973461	2	0.0326315074876816	1	1	4	5	0.298853281069789	-0.954943565660508	0.103241719520789	1419	0	1419
bfi_extra_8	3.50599013389711	4	1.19372290822417	1.09257627112443	1	0.0290041783122021	1	3	5	5	-0.419804728357477	-0.527383004631509	0.132840028188865	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
bfi_extra_1	I see myself as someone who is talkative.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.803	1.0278	6	▁▂▁▅▁▇▁▆
bfi_extra_3	I see myself as someone who is full of energy.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	3.427	0.9308	6	▁▂▁▇▁▇▁▂
bfi_extra_2r	I see myself as someone who is reserved.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	3.276	1.1523	6	▂▆▁▆▁▇▁▃
bfi_extra_4	I see myself as someone who generates a lot of enthusiasm.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	4	5	3.706	1.0140	6	▁▂▁▅▁▇▁▅
bfi_extra_5r	I see myself as someone who tends to be quiet.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	4	5	3.769	1.1299	6	▁▃▁▅▁▇▁▇
bfi_extra_6	I see myself as someone who has an assertive personality.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	3.360	1.0313	6	▁▃▁▇▁▇▁▃
bfi_extra_7r	I see myself as someone who is sometimes shy, inhibited.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.684	1.2292	6	▅▇▁▅▁▅▁▂
bfi_extra_8	I see myself as someone who is outgoing, sociable.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	3.506	1.0926	6	▁▃▁▆▁▇▁▅

Scale: bfi_agree

Overview

Reliability: ω_ordinal [95% CI] = 0.79 [0.77;0.81].

Missing: 93.

Likert plot of scale bfi_agree items

Distribution of scale bfi_agree

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	bfi_agree_2, bfi_agree_3r, bfi_agree_1r, bfi_agree_4, bfi_agree_5, bfi_agree_6r, bfi_agree_7, bfi_agree_8r & bfi_agree_9
Observations:	1419
Positive correlations:	36
Number of correlations:	36
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.78
Omega (hierarchical):	0.55
Revelle’s Omega (total):	0.81
Greatest Lower Bound (GLB):	0.83
Coefficient H:	0.81
Coefficient Alpha:	0.76

Confidence intervals

Omega (total):	[0.76; 0.79]
Coefficient Alpha	[0.75; 0.78]

Estimates assuming ordinal level

Ordinal Omega (total):	0.79
Ordinal Omega (hierarch.):	0.76
Ordinal Coefficient Alpha:	0.80

Confidence intervals

Ordinal Omega (total):	[0.77; 0.81]
Ordinal Coefficient Alpha	[0.78; 0.81]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.149, 1.209, 0.934, 0.9, 0.75, 0.625, 0.595, 0.518 & 0.318

Factor analysis (reproducing only shared variance)

	ML1	ML2
bfi_agree_2	-0.044	0.687
bfi_agree_3r	0.373	0.052
bfi_agree_1r	0.424	0.131
bfi_agree_4	0.258	0.195
bfi_agree_5	0.172	0.343
bfi_agree_6r	0.715	0.024
bfi_agree_7	0.019	0.664
bfi_agree_8r	0.901	-0.028
bfi_agree_9	0.091	0.389

Component analysis (reproducing full covariance matrix)

	TC1	TC2
bfi_agree_2	-0.076	0.832
bfi_agree_3r	0.748	-0.203
bfi_agree_1r	0.726	-0.037
bfi_agree_4	0.512	0.112
bfi_agree_5	0.193	0.504
bfi_agree_6r	0.623	0.186
bfi_agree_7	0.057	0.741
bfi_agree_8r	0.738	0.141
bfi_agree_9	0.186	0.471

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
bfi_agree_2	3.89781536293164	4	0.708168707775097	0.841527603691702	1	0.022339691348957	1	3	5	5	-0.722456245541199	0.753900461993496	0.114517265680056	1419	0	1419
bfi_agree_3r	4.28188865398168	5	0.810468644857073	0.900260320605697	1	0.0238988449194262	1	4	NA	5	-1.24633183902132	1.10474997908307	0.158914728682171	1419	0	1419
bfi_agree_1r	3.09654686398872	3	1.16909243979799	1.08124578140124	2	0.0287033924055507	1	2	4	5	-0.0281772400927308	-0.754622250283923	0.139887244538407	1419	0	1419
bfi_agree_4	3.31219168428471	3	1.36297537648933	1.16746536414976	2	0.0309922286343185	1	2	4	5	-0.314353246381306	-0.773956612144722	0.126497533474278	1419	0	1419
bfi_agree_5	3.85412262156448	4	0.983641313585224	0.991786929529334	2	0.0263285646156085	1	3	5	5	-0.812354008453773	0.210948895813709	0.135658914728682	1419	0	1419
bfi_agree_6r	2.99788583509514	3	1.66783755818426	1.29144785345141	2	0.0342835413987765	1	2	4	5	-0.00786896143849787	-1.12113175259572	0.119097956307259	1419	0	1419
bfi_agree_7	4.24735729386892	4	0.626359372251064	0.791428690566032	1	0.0210097358593975	1	3	5	5	-0.965280837638447	0.838676078037697	0.210711768851304	1419	0	1419
bfi_agree_8r	3.27272727272727	3	1.63008077958713	1.27674616881631	2	0.0338932617506496	1	2	4	5	-0.22700354883649	-1.05660178260991	0.107117688513037	1419	0	1419
bfi_agree_9	4.10852713178295	4	0.923333442669553	0.960902410585775	1	0.0255086858408263	1	3	5	5	-1.00618440692128	0.517498277574388	0.178999295278365	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
bfi_agree_2	I see myself as someone who is helpful and unselfish with others.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.897	0.8435	6	▁▁▁▃▁▇▁▃
bfi_agree_3r	I see myself as someone who starts quarrels with others.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	5	5	4.282	0.9002	6	▁▁▁▂▁▅▁▇
bfi_agree_1r	I see myself as someone who tends to find fault with others.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	3.096	1.0858	6	▂▆▁▇▁▇▁▂
bfi_agree_4	I see myself as someone who has a forgiving nature.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	3.311	1.1652	6	▂▅▁▆▁▇▁▃
bfi_agree_5	I see myself as someone who is generally trusting.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	4	5	3.857	0.9915	6	▁▂▁▃▁▇▁▅
bfi_agree_6r	I see myself as someone who can be cold and aloof.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	3.003	1.2897	6	▅▇▁▇▁▇▁▅
bfi_agree_7	I see myself as someone who is considerate and kind to almost everyone.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	4.247	0.7914	6	▁▁▁▂▁▇▁▇
bfi_agree_8r	I see myself as someone who is sometimes rude to others.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	3.273	1.2767	6	▃▆▁▆▁▇▁▆
bfi_agree_9	I see myself as someone who likes to cooperate with others.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	4	5	4.109	0.9609	6	▁▁▁▃▁▇▁▇

Scale: soi_r_attitude

Overview

Reliability: ω_ordinal [95% CI] = 0.89 [0.88;0.9].

Missing: 50.

Likert plot of scale soi_r_attitude items

Distribution of scale soi_r_attitude

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	soi_r_attitude_6r, soi_r_attitude_4 & soi_r_attitude_5
Observations:	1462
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.85
Omega (hierarchical):	0.06
Revelle’s Omega (total):	0.85
Greatest Lower Bound (GLB):	0.84
Coefficient H:	0.85
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.87]
Coefficient Alpha	[0.84; 0.86]

Estimates assuming ordinal level

Ordinal Omega (total):	0.89
Ordinal Omega (hierarch.):	0.89
Ordinal Coefficient Alpha:	0.89

Confidence intervals

Ordinal Omega (total):	[0.88; 0.9]
Ordinal Coefficient Alpha	[0.88; 0.9]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.314, 0.352 & 0.333

Factor analysis (reproducing only shared variance)

	ML1
soi_r_attitude_6r	0.822
soi_r_attitude_4	0.802
soi_r_attitude_5	0.809

Component analysis (reproducing full covariance matrix)

	PC1
soi_r_attitude_6r	0.882
soi_r_attitude_4	0.875
soi_r_attitude_5	0.878

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
soi_r_attitude_6r	3.52735978112175	4	1.97426804158462	1.40508648900508	3	0.0367476330848067	1	2	5	5	-0.530423406851316	-1.0613856360851	0.124829001367989	1462	0	1462
soi_r_attitude_4	3.56497948016416	4	1.88044281272033	1.37129238775701	3	0.0358638061867387	1	2	5	5	-0.528465357879277	-1.00413248783396	0.114569083447332	1462	0	1462
soi_r_attitude_5	2.9015047879617	3	2.12307781619883	1.45707852094485	2	0.0381073957243358	1	1	4	5	0.0704432848153881	-1.39044667493889	0.106475148198814	1462	0	1462

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
soi_r_attitude_6r	I do not want to have sex with a person until I am sure that we will have a long-term, serious relationship.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.527	1.405	6	▃▃▁▃▁▆▁▇
soi_r_attitude_4	Sex without love is OK.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.565	1.371	6	▂▃▁▃▁▅▁▇
soi_r_attitude_5	I can imagine myself being comfortable and enjoying “casual” sex with different partners.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.901	1.457	6	▇▇▁▅▁▇▁▆

Scale: bfi_consc

Overview

Reliability: ω_ordinal [95% CI] = 0.85 [0.84;0.86].

Missing: 93.

Likert plot of scale bfi_consc items

Distribution of scale bfi_consc

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	bfi_consc_2r, bfi_consc_3, bfi_consc_1, bfi_consc_9r, bfi_consc_4r, bfi_consc_5, bfi_consc_6, bfi_consc_7 & bfi_consc_8r
Observations:	1419
Positive correlations:	36
Number of correlations:	36
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.81
Omega (hierarchical):	0.70
Revelle’s Omega (total):	0.85
Greatest Lower Bound (GLB):	0.86
Coefficient H:	0.83
Coefficient Alpha:	0.81

Confidence intervals

Omega (total):	[0.8; 0.83]
Coefficient Alpha	[0.8; 0.83]

Estimates assuming ordinal level

Ordinal Omega (total):	0.85
Ordinal Omega (hierarch.):	0.85
Ordinal Coefficient Alpha:	0.85

Confidence intervals

Ordinal Omega (total):	[0.84; 0.86]
Ordinal Coefficient Alpha	[0.83; 0.86]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.72, 0.942, 0.86, 0.733, 0.659, 0.622, 0.539, 0.499 & 0.426

Factor analysis (reproducing only shared variance)

	ML1
bfi_consc_2r	0.415
bfi_consc_3	0.637
bfi_consc_1	0.668
bfi_consc_9r	0.544
bfi_consc_4r	0.595
bfi_consc_5	0.618
bfi_consc_6	0.609
bfi_consc_7	0.577
bfi_consc_8r	0.563

Component analysis (reproducing full covariance matrix)

	PC1
bfi_consc_2r	0.485
bfi_consc_3	0.685
bfi_consc_1	0.710
bfi_consc_9r	0.612
bfi_consc_4r	0.663
bfi_consc_5	0.672
bfi_consc_6	0.664
bfi_consc_7	0.636
bfi_consc_8r	0.632

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
bfi_consc_2r	3.55109231853418	4	1.16011693011726	1.07708724350317	1	0.0285929973897504	1	3	5	5	-0.357876114899703	-0.760856616409921	0.114164904862579	1419	0	1419
bfi_consc_3	4.20577871740662	4	0.6670751865425	0.816746708926642	1	0.0216818430050954	1	3	5	5	-0.954410659665551	0.815192630283469	0.205778717406624	1419	0	1419
bfi_consc_1	4.02818886539817	4	0.694550384615002	0.833396895011616	1	0.0221238487294582	1	3	5	5	-0.689722406928276	0.20149625499385	0.151515151515152	1419	0	1419
bfi_consc_9r	2.90486257928118	3	1.73494812990336	1.31717429746536	2	0.0349664908543339	1	2	4	5	0.0977724687147142	-1.1458240895515	0.108527131782946	1419	0	1419
bfi_consc_4r	2.94291754756871	3	1.37544169347889	1.17279226356541	2	0.031133639668574	1	2	4	5	0.076728663360034	-0.885716708085572	0.136363636363636	1419	0	1419
bfi_consc_5	3.5877378435518	4	0.995646430520311	0.997820840892949	1	0.0264887444087594	1	3	5	5	-0.409055865658888	-0.423495355615039	0.134249471458774	1419	0	1419
bfi_consc_6	3.71952078928823	4	0.922686371041408	0.960565651603995	1	0.0254997460369756	1	3	5	5	-0.519344286595407	-0.169353461055322	0.126849894291755	1419	0	1419
bfi_consc_7	3.78999295278365	4	0.892396262291627	0.944667275971613	1	0.0250776983192072	1	3	5	5	-0.540847531162739	-0.100095392852032	0.126849894291755	1419	0	1419
bfi_consc_8r	3.12544045102185	3	1.31006459782659	1.14458053356965	2	0.0303847143359283	1	2	4	5	-0.159133929098284	-0.831804268254366	0.136715997181113	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
bfi_consc_2r	I see myself as someone who can be somewhat careless.	NA	NA	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	50	0.9669	1	4	5	3.559	1.0744	6	▁▃▁▅▁▇▁▅
bfi_consc_3	I see myself as someone who is a reliable worker.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	50	0.9669	1	4	5	4.198	0.8225	6	▁▁▁▂▁▇▁▇
bfi_consc_1	I see myself as someone who does a thorough job.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	50	0.9669	1	4	5	4.019	0.8475	6	▁▁▁▃▁▇▁▅
bfi_consc_9r	Ich sehe mich selbst als jemanden, der dazu neigt, unordentlich zu sein.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu, NA. Item was never rendered for this user.	0			28	73	0.9517	1	3	5	2.905	1.3206	6	▆▇▁▇▁▇▁▅
bfi_consc_4r	I see myself as someone who tends to be disorganized.	NA	NA	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	3	5	2.942	1.1755	6	▃▇▁▇▁▇▁▃
bfi_consc_5	I see myself as someone who perserveres until the task is finished.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	4	5	3.591	1.0006	6	▁▂▁▆▁▇▁▃
bfi_consc_6	Ich sehe mich selbst als jemanden, der tüchtig ist und flott arbeitet.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu, NA. Item was never rendered for this user.	0			55	93	0.9385	1	4	5	3.720	0.9606	6	▁▂▁▅▁▇▁▅
bfi_consc_7	I see myself as someone who does things efficiently.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	93	0.9385	1	4	5	3.790	0.9447	6	▁▂▁▅▁▇▁▅
bfi_consc_8r	I see myself as someone who is easily distracted.	NA	NA	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	93	0.9385	1	3	5	3.125	1.1446	6	▂▆▁▇▁▇▁▃

Scale: asendorpf_shyness

Overview

Reliability: ω_ordinal [95% CI] = 0.88 [0.87;0.89].

Missing: 93.

Likert plot of scale asendorpf_shyness items

Distribution of scale asendorpf_shyness

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	asendorpf_shyness_4r, asendorpf_shyness_2, asendorpf_shyness_5, asendorpf_shyness_3r & asendorpf_shyness_1
Observations:	1419
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.86
Omega (hierarchical):	0.81
Revelle’s Omega (total):	0.89
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.88
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.87]
Coefficient Alpha	[0.84; 0.87]

Estimates assuming ordinal level

Ordinal Omega (total):	0.88
Ordinal Omega (hierarch.):	0.88
Ordinal Coefficient Alpha:	0.88

Confidence intervals

Ordinal Omega (total):	[0.87; 0.89]
Ordinal Coefficient Alpha	[0.87; 0.89]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.205, 0.677, 0.526, 0.334 & 0.259

Factor analysis (reproducing only shared variance)

	ML1
asendorpf_shyness_4r	0.811
asendorpf_shyness_2	0.716
asendorpf_shyness_5	0.533
asendorpf_shyness_3r	0.849
asendorpf_shyness_1	0.785

Component analysis (reproducing full covariance matrix)

	PC1
asendorpf_shyness_4r	0.833
asendorpf_shyness_2	0.796
asendorpf_shyness_5	0.646
asendorpf_shyness_3r	0.860
asendorpf_shyness_1	0.848

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
asendorpf_shyness_4r	2.68217054263566	3	1.44545762674801	1.20227186058229	2	0.0319162225518445	1	2	4	5	0.331962201553692	-0.815730854463806	0.12262156448203	1419	0	1419
asendorpf_shyness_2	2.6800563777308	3	1.11195034942862	1.05449056393532	1	0.0279931325191952	1	2	4	5	0.261324523126014	-0.601816507955876	0.149048625792812	1419	0	1419
asendorpf_shyness_5	2.64411557434813	2	1.58905385405205	1.26057679419068	2	0.0334640199327251	1	1	4	5	0.337283548551323	-0.941045544066679	0.109936575052854	1419	0	1419
asendorpf_shyness_3r	2.5968992248062	2	1.25347415838445	1.11958660155633	1	0.0297212105788025	1	1	3	5	0.321254689711459	-0.747680262601273	0.122269203664553	1419	0	1419
asendorpf_shyness_1	2.72374911909796	3	1.31291230936982	1.14582385617067	2	0.0304177203158058	1	2	4	5	0.205058319475354	-0.764741164593884	0.145525017618041	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
asendorpf_shyness_4r	It is easy for me to get in touch with strangers.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.672	1.196	6	▅▇▁▆▁▅▁▂
asendorpf_shyness_2	I feel inhibited when I am with other people.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.672	1.055	6	▃▇▁▇▁▅▁▁
asendorpf_shyness_5	I feel uneasy at parties and in large groups.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	2	5	2.643	1.257	6	▆▇▁▆▁▅▁▂
asendorpf_shyness_3r	I easily approach others.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	2	5	2.596	1.117	6	▃▇▁▆▁▅▁▁
asendorpf_shyness_1	I feel shy in the presence of others.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	2.724	1.146	6	▅▇▁▇▁▅▁▂

Scale: bfi_neuro

Overview

Reliability: ω_ordinal [95% CI] = 0.87 [0.86;0.88].

Missing: 93.

Likert plot of scale bfi_neuro items

Distribution of scale bfi_neuro

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	bfi_neuro_2r, bfi_neuro_1, bfi_neuro_3, bfi_neuro_4, bfi_neuro_5r, bfi_neuro_8, bfi_neuro_6r & bfi_neuro_7
Observations:	1419
Positive correlations:	28
Number of correlations:	28
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.85
Omega (hierarchical):	0.72
Revelle’s Omega (total):	0.89
Greatest Lower Bound (GLB):	0.89
Coefficient H:	0.86
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.86]
Coefficient Alpha	[0.84; 0.86]

Estimates assuming ordinal level

Ordinal Omega (total):	0.87
Ordinal Omega (hierarch.):	0.86
Ordinal Coefficient Alpha:	0.87

Confidence intervals

Ordinal Omega (total):	[0.86; 0.88]
Ordinal Coefficient Alpha	[0.86; 0.88]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.913, 0.989, 0.761, 0.565, 0.549, 0.447, 0.415 & 0.361

Factor analysis (reproducing only shared variance)

	ML1
bfi_neuro_2r	0.725
bfi_neuro_1	0.527
bfi_neuro_3	0.690
bfi_neuro_4	0.560
bfi_neuro_5r	0.718
bfi_neuro_8	0.573
bfi_neuro_6r	0.725
bfi_neuro_7	0.611

Component analysis (reproducing full covariance matrix)

	PC1
bfi_neuro_2r	0.747
bfi_neuro_1	0.621
bfi_neuro_3	0.748
bfi_neuro_4	0.648
bfi_neuro_5r	0.741
bfi_neuro_8	0.651
bfi_neuro_6r	0.741
bfi_neuro_7	0.685

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
bfi_neuro_2r	3.22128259337562	3	1.24154955266577	1.11424842502279	2	0.0295795001754808	1	2	4	5	-0.140942561537846	-0.809411519300068	0.13953488372093	1419	0	1419
bfi_neuro_1	2.26708949964764	2	1.27346479522817	1.12847897420739	2	0.0299572727822444	1	1	3	5	0.61774597722199	-0.428104565751207	0.151867512332629	1419	0	1419
bfi_neuro_3	2.88794926004228	3	1.18983352069586	1.09079490313067	2	0.0289568890599126	1	2	4	5	0.121966287615833	-0.804177049117325	0.139182522903453	1419	0	1419
bfi_neuro_4	3.66243833685694	4	1.24492804185788	1.11576343454062	2	0.0296197185175418	1	3	5	5	-0.517933448329891	-0.610939951276621	0.132135306553911	1419	0	1419
bfi_neuro_5r	2.89006342494715	3	1.14023264759644	1.06781676686426	2	0.0283468978133819	1	2	4	5	0.125945433739933	-0.683648640706795	0.150105708245243	1419	0	1419
bfi_neuro_8	3.15151515151515	3	1.4290721032611	1.19543803823582	2	0.0317348078468673	1	2	4	5	-0.130231955048835	-0.949934787075819	0.123326286116984	1419	0	1419
bfi_neuro_6r	2.90909090909091	3	1.146172586229	1.0705945013071	2	0.0284206372009316	1	2	4	5	0.108958996073248	-0.700585148920632	0.147991543340381	1419	0	1419
bfi_neuro_7	2.93657505285412	3	1.31473325441246	1.14661818161603	2	0.0304388069506378	1	2	4	5	0.124186092821193	-0.84458445376297	0.139182522903453	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
bfi_neuro_2r	I see myself as someone who is relaxed, handles stress well.	NA	NA	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	50	0.9669	1	3	5	3.222	1.111	6	▂▆▁▇▁▇▁▃
bfi_neuro_1	I see myself as someone who is depressed, blue.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	50	0.9669	1	2	5	2.269	1.123	6	▇▇▁▆▁▃▁▁
bfi_neuro_3	I see myself as someone who an be tense.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	3	5	2.889	1.088	6	▂▇▁▇▁▆▁▂
bfi_neuro_4	I see myself as someone who worries a lot.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	4	5	3.660	1.115	6	▁▃▁▅▁▇▁▆
bfi_neuro_5r	I see myself as someone who is emotionally stable, not easily upset.	NA	NA	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	3	5	2.894	1.065	6	▂▇▁▇▁▆▁▂
bfi_neuro_8	I see myself as someone who gets nervous easily.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	NA	NA	NA	NA	73	0.9517	1	3	5	3.152	1.197	6	▂▆▁▇▁▇▁▃
bfi_neuro_6r	Ich sehe mich selbst als jemanden, der ruhig bleibt, selbst in angespannten Situationen ausgeglichen ist.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu, NA. Item was never rendered for this user.	0			55	93	0.9385	1	3	5	2.909	1.071	6	▂▇▁▇▁▆▁▂
bfi_neuro_7	Ich sehe mich selbst als jemanden, der leicht nervös und unsicher wird.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu, NA. Item was never rendered for this user.	0			55	93	0.9385	1	3	5	2.937	1.147	6	▃▇▁▇▁▆▁▃

Scale: pvd_germ_aversion

Overview

Reliability: ω_ordinal [95% CI] = 0.67 [0.65;0.7].

Missing: 93.

Likert plot of scale pvd_germ_aversion items

Distribution of scale pvd_germ_aversion

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	pvd_germ_aversion_2, pvd_germ_aversion_3R, pvd_germ_aversion_1 & pvd_germ_aversion_4R
Observations:	1419
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.59
Omega (hierarchical):	0.56
Revelle’s Omega (total):	0.61
Greatest Lower Bound (GLB):	0.60
Coefficient H:	0.62
Coefficient Alpha:	0.58

Confidence intervals

Omega (total):	[0.55; 0.62]
Coefficient Alpha	[0.54; 0.61]

Estimates assuming ordinal level

Ordinal Omega (total):	0.67
Ordinal Omega (hierarch.):	0.67
Ordinal Coefficient Alpha:	0.67

Confidence intervals

Ordinal Omega (total):	[0.65; 0.7]
Ordinal Coefficient Alpha	[0.64; 0.69]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.808, 0.848, 0.677 & 0.667

Factor analysis (reproducing only shared variance)

	ML1
pvd_germ_aversion_2	0.556
pvd_germ_aversion_3R	0.566
pvd_germ_aversion_1	0.590
pvd_germ_aversion_4R	0.360

Component analysis (reproducing full covariance matrix)

	PC1
pvd_germ_aversion_2	0.702
pvd_germ_aversion_3R	0.707
pvd_germ_aversion_1	0.723
pvd_germ_aversion_4R	0.541

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
pvd_germ_aversion_2	2.83298097251586	3	2.03625986635138	1.42697577637162	2	0.0378813460981358	1	1	4	5	0.155639071211968	-1.32319145942006	0.113460183227625	1419	0	1419
pvd_germ_aversion_3R	1.60887949260042	1	1.10855297488945	1.05287842360334	1	0.0279503356848791	1	NA	2	5	1.86259484414591	2.66040258046728	0.0937279774489077	1419	0	1419
pvd_germ_aversion_1	1.70754052149401	1	1.00820121045135	1.00409223204412	1	0.0266552284813331	1	NA	2	5	1.47672565774217	1.61387940238512	0.121564482029598	1419	0	1419
pvd_germ_aversion_4R	2.7815362931642	3	1.50654178482433	1.22741263836753	2	0.0325836245640078	1	2	4	5	0.204282128432199	-0.975514775224748	0.115574348132488	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pvd_germ_aversion_2	I don’t like using a pencil which another person has obviously chewed on.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	2.842	1.426	6	▇▇▁▆▁▆▁▆
pvd_germ_aversion_3R	I don’t mind sharing a water bottle with a friend.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	1	5	1.616	1.061	6	▇▂▁▁▁▁▁▁
pvd_germ_aversion_1	I preferably wash my hands directly after shaking someones hand.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	1	5	1.717	1.012	6	▇▃▁▂▁▁▁▁
pvd_germ_aversion_4R	I don’t worry when I’m surrounded by people who are ill.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	3	5	2.781	1.227	6	▅▇▁▆▁▆▁▂

Scale: pvd_infectability

Overview

Reliability: ω_ordinal [95% CI] = 0.87 [0.86;0.88].

Missing: 93.

Likert plot of scale pvd_infectability items

Distribution of scale pvd_infectability

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	pvd_infectability_1, pvd_infectability_3R & pvd_infectability_2
Observations:	1419
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.84
Omega (hierarchical):	0.00
Revelle’s Omega (total):	0.84
Greatest Lower Bound (GLB):	0.85
Coefficient H:	0.85
Coefficient Alpha:	0.84

Confidence intervals

Omega (total):	[0.83; 0.85]
Coefficient Alpha	[0.82; 0.85]

Estimates assuming ordinal level

Ordinal Omega (total):	0.87
Ordinal Omega (hierarch.):	0.87
Ordinal Coefficient Alpha:	0.87

Confidence intervals

Ordinal Omega (total):	[0.86; 0.88]
Ordinal Coefficient Alpha	[0.86; 0.88]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.264, 0.413 & 0.323

Factor analysis (reproducing only shared variance)

	ML1
pvd_infectability_1	0.853
pvd_infectability_3R	0.762
pvd_infectability_2	0.770

Component analysis (reproducing full covariance matrix)

	PC1
pvd_infectability_1	0.888
pvd_infectability_3R	0.857
pvd_infectability_2	0.860

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
pvd_infectability_1	2.23255813953488	2	1.37324105356381	1.17185368266	2	0.031108723542661	1	1	3	5	0.738848789551805	-0.346777885499556	0.162085976039464	1419	0	1419
pvd_infectability_3R	2.71035940803383	3	1.22846101318893	1.10835960463603	1	0.0294231720535361	1	2	4	5	0.238125425211416	-0.627024708541569	0.151162790697674	1419	0	1419
pvd_infectability_2	2.17970401691332	2	1.13199963024478	1.0639547124971	2	0.0282443734254036	1	1	3	5	0.724390880896979	-0.11118863126463	0.15292459478506	1419	0	1419

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pvd_infectability_1	I am generally very prone to colds, flus and other infections.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	2	5	2.235	1.168	6	▇▇▁▅▁▃▁▁
pvd_infectability_3R	My immune system protects me from most illnesses which other people get.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	73	0.9517	1	3	5	2.712	1.106	6	▃▇▁▇▁▅▁▂
pvd_infectability_2	If there is an illness “going around” I’ll probably catch it too.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	93	0.9385	1	2	5	2.180	1.064	6	▇▇▁▅▁▂▁▁

Scale: spms_partner

Overview

Reliability: ω_ordinal [95% CI] = 0.86 [0.84;0.87].

Missing: 570.

Likert plot of scale spms_partner items

Distribution of scale spms_partner

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	spms_partner_1, spms_partner_2 & spms_partner_3R
Observations:	942
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.82
Omega (hierarchical):	0.04
Revelle’s Omega (total):	0.83
Greatest Lower Bound (GLB):	0.84
Coefficient H:	0.84
Coefficient Alpha:	0.82

Confidence intervals

Omega (total):	[0.8; 0.84]
Coefficient Alpha	[0.8; 0.84]

Estimates assuming ordinal level

Ordinal Omega (total):	0.86
Ordinal Omega (hierarch.):	0.85
Ordinal Coefficient Alpha:	0.85

Confidence intervals

Ordinal Omega (total):	[0.84; 0.87]
Ordinal Coefficient Alpha	[0.84; 0.87]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.211, 0.473 & 0.316

Factor analysis (reproducing only shared variance)

	ML1
spms_partner_1	0.782
spms_partner_2	0.865
spms_partner_3R	0.691

Component analysis (reproducing full covariance matrix)

	PC1
spms_partner_1	0.863
spms_partner_2	0.888
spms_partner_3R	0.823

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
spms_partner_1	3.64012738853503	4	0.980874797782546	0.990391234706036	1	0.0322686901318675	1	3	5	5	-0.375584802582975	-0.383073123912641	0.150743099787686	942	0	942
spms_partner_2	3.38428874734607	3	0.963748643422659	0.981707004876026	1	0.0319857426343549	1	2	4	5	-0.133924268400622	-0.401762661093455	0.154458598726115	942	0	942
spms_partner_3R	3.25796178343949	3	1.19055822170479	1.09112704196385	1	0.0355508400900614	1	2	4	5	-0.20508575201181	-0.605903805394255	0.14968152866242	942	0	942

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
spms_partner_1	Women take notice of my partner.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	570	0.623	1	4	5	3.640	0.9904	7	▁▂▁▆▁▇▁▅
spms_partner_2	Women feel attracted towards my partner.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	570	0.623	1	3	5	3.384	0.9817	7	▁▃▁▇▁▆▁▃
spms_partner_3R	My partner seldomly recieves compliments from women.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	570	0.623	1	3	5	3.258	1.0911	7	▂▅▁▇▁▇▁▃

Scale: spms_self

Overview

Reliability: ω_ordinal [95% CI] = 0.89 [0.88;0.9].

Missing: 99.

Likert plot of scale spms_self items

Distribution of scale spms_self

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	spms_self_1, spms_self_2 & spms_self_3R
Observations:	1413
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.85
Omega (hierarchical):	0.04
Revelle’s Omega (total):	0.86
Greatest Lower Bound (GLB):	0.87
Coefficient H:	0.87
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.87]
Coefficient Alpha	[0.84; 0.87]

Estimates assuming ordinal level

Ordinal Omega (total):	0.89
Ordinal Omega (hierarch.):	0.89
Ordinal Coefficient Alpha:	0.89

Confidence intervals

Ordinal Omega (total):	[0.88; 0.9]
Ordinal Coefficient Alpha	[0.88; 0.9]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.329, 0.4 & 0.271

Factor analysis (reproducing only shared variance)

	ML1
spms_self_1	0.821
spms_self_2	0.881
spms_self_3R	0.746

Component analysis (reproducing full covariance matrix)

	PC1
spms_self_1	0.885
spms_self_2	0.903
spms_self_3R	0.854

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
spms_self_1	3.6135881104034	4	1.06021183305967	1.02966588418752	1	0.0273920945851273	1	3	5	5	-0.604890632650613	-0.0677967009074301	0.128096249115357	1413	0	1413
spms_self_2	3.4069355980184	3	1.03896036199676	1.01929405080024	1	0.0271161737786514	1	2	4	5	-0.371789608268124	-0.331087106000438	0.159235668789809	1413	0	1413
spms_self_3R	3.47487615003539	4	1.33453123465032	1.15521912841258	1	0.0307321745024066	1	3	5	5	-0.551497243292905	-0.486209335381379	0.114295824486907	1413	0	1413

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
spms_self_1	Men notice me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	4	5	3.614	1.030	6	▁▂▁▅▁▇▁▃
spms_self_2	Men feel attracted towards me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	3	5	3.407	1.019	6	▁▃▁▇▁▇▁▃
spms_self_3R	I seldomly recieve compliments from men.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	4	5	3.475	1.155	6	▂▃▁▅▁▇▁▃

Scale: relationship_satisfaction

Overview

Reliability: ω_ordinal [95% CI] = 0.91 [0.9;0.92].

Missing: 572.

Likert plot of scale relationship_satisfaction items

Distribution of scale relationship_satisfaction

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	relationship_problems_R, relationship_satisfaction_overall, relationship_conflict_R, relationship_satisfaction_2 & relationship_satisfaction_3
Observations:	940
Positive correlations:	10
Number of correlations:	10
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.87
Omega (hierarchical):	0.83
Revelle’s Omega (total):	0.92
Greatest Lower Bound (GLB):	0.93
Coefficient H:	0.92
Coefficient Alpha:	0.87

Confidence intervals

Omega (total):	[0.86; 0.88]
Coefficient Alpha	[0.86; 0.89]

Estimates assuming ordinal level

Ordinal Omega (total):	0.91
Ordinal Omega (hierarch.):	0.89
Ordinal Coefficient Alpha:	0.91

Confidence intervals

Ordinal Omega (total):	[0.9; 0.92]
Ordinal Coefficient Alpha	[0.9; 0.92]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

3.394, 0.775, 0.358, 0.288 & 0.185

Factor analysis (reproducing only shared variance)

	ML1
relationship_problems_R	0.743
relationship_satisfaction_overall	0.902
relationship_conflict_R	0.543
relationship_satisfaction_2	0.758
relationship_satisfaction_3	0.883

Component analysis (reproducing full covariance matrix)

	PC1
relationship_problems_R	0.846
relationship_satisfaction_overall	0.888
relationship_conflict_R	0.687
relationship_satisfaction_2	0.804
relationship_satisfaction_3	0.878

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
relationship_problems_R	3.86276595744681	4	1.34536401332336	1.15989827714475	2	0.0378317104033922	1	3	5	5	-0.900347569518517	0.000429579103411686	0.162765957446809	940	0	940
relationship_satisfaction_overall	4.31170212765957	5	0.97089592821698	0.985340513841271	1	0.0321382639347783	1	4	NA	5	-1.49931275549617	1.71392745421107	0.122872340425532	940	0	940
relationship_conflict_R	3.68936170212766	4	1.32832121088528	1.15252818225208	2	0.0375913244134142	1	3	5	5	-0.636781319254214	-0.429155240165173	0.143085106382979	940	0	940
relationship_satisfaction_2	3.97127659574468	4	1.10141050914282	1.04948106659569	2	0.0342302980939217	1	3	5	5	-1.0007097688853	0.451406982452771	0.182446808510638	940	0	940
relationship_satisfaction_3	4.23191489361702	4.5	0.898234880928104	0.947752542031992	1	0.0309122794737616	1	4	5	5	-1.21421240117257	0.951124684814117	0.15531914893617	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_problems_R	Es gibt viele Probleme in meiner Beziehung.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu, NA. Item was not shown to this user., NA. Item was never rendered for this user.	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 4.0 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 3.863 </td> <td style="text-align:right;"> 1.1599 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> ▁▂▁▃▁▇▁▇ </td> </tr> <tr> <td style="text-align:left;"> relationship_satisfaction_overall </td> <td style="text-align:left;"> All in all I am happy with my relationship. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: does not apply at all,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: fully applies,<br>NA. Item was not shown to this user.,<br>NA. Item was never rendered for this user. </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5.0 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 4.312 </td> <td style="text-align:right;"> 0.9853 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> ▁▁▁▂▁▃▁▇ </td> </tr> <tr> <td style="text-align:left;"> relationship_conflict_R </td> <td style="text-align:left;"> Es gibt oft Streit/Meinungsverschiedenheiten in meiner Partnerschaft. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu,<br>NA. Item was not shown to this user.,<br>NA. Item was never rendered for this user. </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	4.0	5	3.689	1.1525	7	▁▃▁▅▁▇▁▇
relationship_satisfaction_2	My needs (e.g. intimacy, quality time, …) are met in our relationship.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	4.0	5	3.971	1.0495	7	▁▂▁▃▁▇▁▇
relationship_satisfaction_3	Our relationship makes me very happy.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	4.5	5	4.232	0.9478	7	▁▁▁▂▁▅▁▇

Scale: alternatives

Overview

Reliability: ω_ordinal [95% CI] = 0.8 [0.78;0.82].

Missing: 572.

Likert plot of scale alternatives items

Distribution of scale alternatives

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	alternatives_1, alternatives_2, alternatives_3, alternatives_4, alternatives_5 & alternatives_6
Observations:	940
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.77
Omega (hierarchical):	0.70
Revelle’s Omega (total):	0.83
Greatest Lower Bound (GLB):	0.77
Coefficient H:	0.79
Coefficient Alpha:	0.76

Confidence intervals

Omega (total):	[0.74; 0.79]
Coefficient Alpha	[0.74; 0.79]

Estimates assuming ordinal level

Ordinal Omega (total):	0.8
Ordinal Omega (hierarch.):	0.8
Ordinal Coefficient Alpha:	0.8

Confidence intervals

Ordinal Omega (total):	[0.78; 0.82]
Ordinal Coefficient Alpha	[0.78; 0.82]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.76, 0.851, 0.778, 0.582, 0.569 & 0.461

Factor analysis (reproducing only shared variance)

	ML1
alternatives_1	0.747
alternatives_2	0.590
alternatives_3	0.518
alternatives_4	0.562
alternatives_5	0.658
alternatives_6	0.473

Component analysis (reproducing full covariance matrix)

	PC1
alternatives_1	0.782
alternatives_2	0.677
alternatives_3	0.608
alternatives_4	0.662
alternatives_5	0.736
alternatives_6	0.584

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
alternatives_1	2.84042553191489	3	1.70826818933678	1.30700734096514	2	0.0426298790099248	1	2	4	5	0.145178500616055	-1.13053745866452	0.107446808510638	940	0	940
alternatives_2	2.37340425531915	2	1.47170937846963	1.21314029628466	2	0.0395682735909426	1	1	3	5	0.592976300318238	-0.600252158334668	0.14468085106383	940	0	940
alternatives_3	2.27872340425532	2	1.56014320349852	1.24905692564371	2	0.0407397448719609	1	1	4	5	0.690425659216733	-0.633597346881776	0.148936170212766	940	0	940
alternatives_4	2.21595744680851	2	1.24724242630231	1.11680008340898	2	0.0364260023198053	1	1	3	5	0.775968210024259	-0.100470206751446	0.152659574468085	940	0	940
alternatives_5	3.47340425531915	4	1.58502141254843	1.25897633518205	2	0.0410632803374597	1	2	5	5	-0.43560043704709	-0.836934296914847	0.128723404255319	940	0	940
alternatives_6	2.68085106382979	3	1.60410577119163	1.2665329728008	2	0.0413097506802896	1	2	4	5	0.250420452627273	-0.946842805704418	0.118617021276596	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
alternatives_1	I think other people besides my partner, that I could have a relationship with, are very attractive.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	3	5	2.840	1.307	7	▆▇▁▆▁▆▁▃
alternatives_2	Alternatives to our relationship (e.g. other relationship, spending time with friends, spending time alone…) are very appealing to me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	2	5	2.373	1.213	7	▇▇▁▆▁▃▁▂
alternatives_3	I flirt with men without them knowing that I am in a relationship.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	2	5	2.279	1.249	7	▇▇▁▃▁▃▁▂
alternatives_4	My needs (e.g. intimacy, quality time, …) can easily be fulfilled in another relationship.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	2	5	2.216	1.117	7	▇▇▁▅▁▂▁▁
alternatives_5	I am very aware of the fact that there are many other attractive partners “out there” for me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	4	5	3.473	1.259	7	▂▅▁▆▁▇▁▇
alternatives_6	It would be easy for me to find a partner for a new relationship.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	3	5	2.681	1.266	7	▆▇▁▇▁▅▁▃

Scale: investment

Overview

Reliability: ω_ordinal [95% CI] = 0.67 [0.61;0.73].

Missing: 572.

Likert plot of scale investment items

Distribution of scale investment

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	investment_1, investment_2 & investment_3
Observations:	940
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.65
Omega (hierarchical):	0.03
Revelle’s Omega (total):	0.62
Greatest Lower Bound (GLB):	0.65
Coefficient H:	0.94
Coefficient Alpha:	0.55

Confidence intervals

Omega (total):	[0.58; 0.72]
Coefficient Alpha	[0.5; 0.6]

Estimates assuming ordinal level

Ordinal Omega (total):	0.67
Ordinal Omega (hierarch.):	0.67
Ordinal Coefficient Alpha:	0.58

Confidence intervals

Ordinal Omega (total):	[0.61; 0.73]
Ordinal Coefficient Alpha	[0.53; 0.63]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.587, 0.909 & 0.503

Factor analysis (reproducing only shared variance)

	ML1
investment_1	0.969
investment_2	0.498
investment_3	0.238

Component analysis (reproducing full covariance matrix)

	PC1
investment_1	0.845
investment_2	0.794
investment_3	0.493

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
investment_1	3.47553191489362	4	1.50632293295267	1.22732348341937	1	0.0400308781476099	1	3	5	5	-0.410967710066757	-0.807468928311765	0.123404255319149	940	0	940
investment_2	2.73404255319149	3	1.8013957809349	1.34216086254029	2	0.0437764604594327	1	2	4	5	0.265418861280402	-1.1325581752615	0.111702127659574	940	0	940
investment_3	3.86276595744681	4	0.964107357306324	0.981889686933478	2	0.0320257103714182	1	3	5	5	-0.662740764178549	-0.0696375405945993	0.145744680851064	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
investment_1	I have invested a lot in this relationship, which I would loose, if it were to end.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	4	5	3.475	1.2273	7	▂▅▁▇▁▇▁▇
investment_2	A lot of aspects of my life are so closely linked to my partner (e.g. leisure activities, mutual circle of friends and acquaintances) that I would lose them if we would break up.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	3	5	2.734	1.3422	7	▇▇▁▆▁▆▁▃
investment_3	I invest a lot (e.g. time, small courtesies, gifts) into the relationship with my partner.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	4	5	3.863	0.9819	7	▁▂▁▅▁▇▁▆

Scale: commitment

Overview

Reliability: ω_ordinal [95% CI] = 0.91 [0.9;0.92].

Missing: 572.

Likert plot of scale commitment items

Distribution of scale commitment

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	commitment_1, commitment_2 & commitment_3
Observations:	940
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.85
Omega (hierarchical):	0.01
Revelle’s Omega (total):	0.87
Greatest Lower Bound (GLB):	0.88
Coefficient H:	0.89
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.87]
Coefficient Alpha	[0.84; 0.87]

Estimates assuming ordinal level

Ordinal Omega (total):	0.91
Ordinal Omega (hierarch.):	0.91
Ordinal Coefficient Alpha:	0.91

Confidence intervals

Ordinal Omega (total):	[0.9; 0.92]
Ordinal Coefficient Alpha	[0.9; 0.92]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.344, 0.4 & 0.256

Factor analysis (reproducing only shared variance)

	ML1
commitment_1	0.910
commitment_2	0.789
commitment_3	0.762

Component analysis (reproducing full covariance matrix)

	PC1
commitment_1	0.913
commitment_2	0.875
commitment_3	0.863

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
commitment_1	4.53404255319149	5	0.74750866698389	0.864585835521199	1	0.0281996806037422	1	4	NA	5	-2.03728709425677	3.94141737996045	0.0765957446808511	940	0	940
commitment_2	4.24148936170213	5	1.22916071873655	1.1086752088581	1	0.0361609981318263	1	4	NA	5	-1.50240467304718	1.42773363750664	0.112234042553191	940	0	940
commitment_3	4.35957446808511	5	1.09101579317064	1.04451701430405	1	0.0340683885606247	1	4	NA	5	-1.65276805098339	1.8579737488961	0.0888297872340426	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
commitment_1	I wish that our relationship lasts for a very long time.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	5	5	4.534	0.8646	7	▁▁▁▁▁▂▁▇
commitment_2	I am orientated towards a long-term future of our relationship (e.g. picture us being together in a few years time, make plans for the future).	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	5	5	4.242	1.1087	7	▁▁▁▂▁▃▁▇
commitment_3	I would throw me very off balance if our relationship were to end in the near future.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	5	5	4.360	1.0445	7	▁▁▁▁▁▂▁▇

Scale: communal_strength

Overview

Reliability: ω_ordinal [95% CI] = 0.79 [0.76;0.81].

Missing: 572.

Likert plot of scale communal_strength items

Distribution of scale communal_strength

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	communal_strength_1, communal_strength_2R, communal_strength_3 & communal_strength_4
Observations:	940
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.73
Omega (hierarchical):	0.71
Revelle’s Omega (total):	0.74
Greatest Lower Bound (GLB):	0.73
Coefficient H:	0.74
Coefficient Alpha:	0.72

Confidence intervals

Omega (total):	[0.7; 0.76]
Coefficient Alpha	[0.69; 0.75]

Estimates assuming ordinal level

Ordinal Omega (total):	0.79
Ordinal Omega (hierarch.):	0.79
Ordinal Coefficient Alpha:	0.78

Confidence intervals

Ordinal Omega (total):	[0.76; 0.81]
Ordinal Coefficient Alpha	[0.76; 0.81]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.191, 0.693, 0.591 & 0.525

Factor analysis (reproducing only shared variance)

	ML1
communal_strength_1	0.629
communal_strength_2R	0.618
communal_strength_3	0.719
communal_strength_4	0.555

Component analysis (reproducing full covariance matrix)

	PC1
communal_strength_1	0.744
communal_strength_2R	0.734
communal_strength_3	0.789
communal_strength_4	0.690

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
communal_strength_1	3.93723404255319	4	0.79797317200281	0.893293441150672	2	0.0291360194568548	1	3	5	5	-0.712178318949266	0.309385609614719	0.140425531914894	940	0	940
communal_strength_2R	4.00212765957447	4	1.04365894002221	1.02159627056005	2	0.0333207963306511	1	3	5	5	-0.977203315023973	0.489750021109989	0.181914893617021	940	0	940
communal_strength_3	4.21595744680851	4	0.733930392223506	0.856697374936743	1	0.0279423873891214	1	3	5	5	-1.14225612410066	1.31896448803862	0.202659574468085	940	0	940
communal_strength_4	4.54042553191489	5	0.446713343756373	0.668366174904425	1	0.0217997009484752	1	4	NA	5	-1.50999018697566	2.5973627499967	0.153723404255319	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
communal_strength_1	To meet the needs of my partner is a high priority for me.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	4	5	3.937	0.8933	7	▁▁▁▃▁▇▁▅
communal_strength_2R	Für meinen Partner Opfer zu bringen widerstrebt mir.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu	0	s1_demo$hetero_relationship == 1		119	572	0.6217	1	4	5	4.002	1.0216	5	▁▁▁▃▁▇▁▇
communal_strength_3	I would go out of my way in order to do something for my partner.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	4	5	4.216	0.8567	7	▁▁▁▂▁▇▁▇
communal_strength_4	Whenever my partner doesn’t feel well, I am there for him, even if it means pushing my own need to the background.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	5	5	4.540	0.6684	7	▁▁▁▁▁▃▁▇

Scale: sexual_communal_strength

Overview

Reliability: ω_ordinal [95% CI] = 0.77 [0.75;0.8].

Missing: 572.

Likert plot of scale sexual_communal_strength items

Distribution of scale sexual_communal_strength

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	sexual_communal_strength_1, sexual_communal_strength_2 & sexual_communal_strength_3
Observations:	940
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.72
Omega (hierarchical):	0.03
Revelle’s Omega (total):	0.74
Greatest Lower Bound (GLB):	0.78
Coefficient H:	0.85
Coefficient Alpha:	0.69

Confidence intervals

Omega (total):	[0.69; 0.75]
Coefficient Alpha	[0.66; 0.73]

Estimates assuming ordinal level

Ordinal Omega (total):	0.77
Ordinal Omega (hierarch.):	0.77
Ordinal Coefficient Alpha:	0.74

Confidence intervals

Ordinal Omega (total):	[0.75; 0.8]
Ordinal Coefficient Alpha	[0.71; 0.77]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

1.9, 0.774 & 0.326

Factor analysis (reproducing only shared variance)

	ML1
sexual_communal_strength_1	0.747
sexual_communal_strength_2	0.898
sexual_communal_strength_3	0.391

Component analysis (reproducing full covariance matrix)

	PC1
sexual_communal_strength_1	0.858
sexual_communal_strength_2	0.881
sexual_communal_strength_3	0.622

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
sexual_communal_strength_1	3.78085106382979	4	1.09995241655904	1.04878616340941	2	0.0342076328510988	1	3	5	5	-0.724424531754277	0.0587918022432108	0.138297872340426	940	0	940
sexual_communal_strength_2	3.71382978723404	4	1.03303537035778	1.01638347603539	1	0.0331507737202763	1	3	5	5	-0.618203738818791	-0.0690392029614097	0.121808510638298	940	0	940
sexual_communal_strength_3	2.9563829787234	3	1.3175843473138	1.14786077000384	2	0.0374390902115122	1	2	4	5	-0.0247201395190144	-0.819908165404863	0.126063829787234	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_communal_strength_1	I try very hard to meet the sexual needs of my partner.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	4	5	3.781	1.049	7	▁▂▁▅▁▇▁▆
sexual_communal_strength_2	The sexual needs of my partner are of high priority to me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	4	5	3.714	1.016	7	▁▂▁▅▁▇▁▅
sexual_communal_strength_3	I order to meet the sexual need of my partner I am willing to push my own sexual needs to the background.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	572	0.6217	1	3	5	2.956	1.148	7	▃▆▁▇▁▇▁▂

Scale: ecr_avo

Overview

Reliability: ω_ordinal [95% CI] = 0.82 [0.81;0.84].

Missing: 572.

Likert plot of scale ecr_avo items

Distribution of scale ecr_avo

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	ecr_avo_1R, ecr_avo_2, ecr_avo_3R, ecr_avo_4, ecr_avo_5R & ecr_avo_6
Observations:	940
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.74
Omega (hierarchical):	0.52
Revelle’s Omega (total):	0.85
Greatest Lower Bound (GLB):	0.86
Coefficient H:	0.85
Coefficient Alpha:	0.76

Confidence intervals

Omega (total):	[0.72; 0.77]
Coefficient Alpha	[0.74; 0.78]

Estimates assuming ordinal level

Ordinal Omega (total):	0.82
Ordinal Omega (hierarch.):	0.77
Ordinal Coefficient Alpha:	0.83

Confidence intervals

Ordinal Omega (total):	[0.81; 0.84]
Ordinal Coefficient Alpha	[0.82; 0.85]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.876, 1.232, 0.775, 0.411, 0.374 & 0.331

Factor analysis (reproducing only shared variance)

	ML2	ML1
ecr_avo_1R	0.761	0.020
ecr_avo_2	0.161	0.346
ecr_avo_3R	0.820	-0.009
ecr_avo_4	-0.016	0.983
ecr_avo_5R	0.821	-0.007
ecr_avo_6	0.061	0.550

Component analysis (reproducing full covariance matrix)

	TC1	TC2
ecr_avo_1R	0.862	-0.004
ecr_avo_2	0.065	0.620
ecr_avo_3R	0.876	0.002
ecr_avo_4	0.044	0.848
ecr_avo_5R	0.876	0.006
ecr_avo_6	-0.069	0.836

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
ecr_avo_1R	1.50744680851064	1	0.678325742641561	0.823605331843815	1	0.0268630439539108	1	NA	2	5	1.930397986018	4.03766354696944	0.123936170212766	940	0	940
ecr_avo_2	2.31170212765957	2	1.68016110393583	1.29621028538422	2	0.0422777178868369	1	1	4	5	0.632762497320524	-0.802013425699461	0.128723404255319	940	0	940
ecr_avo_3R	1.71595744680851	1	0.938403235673985	0.968712153156956	1	0.0315959066106164	1	NA	2	5	1.4527347597321	1.73497125223745	0.140957446808511	940	0	940
ecr_avo_4	1.53085106382979	1	0.915980105589921	0.957068495767111	1	0.0312161323811958	1	NA	2	5	1.93153436192911	3.06973820589392	0.0835106382978723	940	0	940
ecr_avo_5R	1.69148936170213	1	0.910044637799379	0.953962597694154	1	0.0311148291559442	1	NA	2	5	1.45367040193656	1.7098113175345	0.133510638297872	940	0	940
ecr_avo_6	1.53510638297872	1	0.956167720300002	0.977838289442586	1	0.0318935683554978	1	NA	2	5	1.9218078934104	2.91251270696374	0.0776595744680851	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
ecr_avo_1R	Es hilft mir, mich an meinen Partner zu wenden, wenn ich es brauche.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 1.507 </td> <td style="text-align:right;"> 0.8236 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> ▇▃▁▁▁▁▁▁ </td> </tr> <tr> <td style="text-align:left;"> ecr_avo_2 </td> <td style="text-align:left;"> Ich möchte meinem Partner nahe sein, halte mich aber trotzdem zurück. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	2	5	2.312	1.2962	5	▇▆▁▃▁▃▁▂
ecr_avo_3R	Ich wende mich oft an meinen Partner, z. B. wenn ich Trost oder Bestätigung brauche.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 1.716 </td> <td style="text-align:right;"> 0.9687 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> ▇▅▁▂▁▁▁▁ </td> </tr> <tr> <td style="text-align:left;"> ecr_avo_4 </td> <td style="text-align:left;"> Ich versuche zu vermeiden, meinem Partner zu nahe zu kommen. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	1	5	1.531	0.9571	5	▇▂▁▁▁▁▁▁
ecr_avo_5R	Ich bespreche meine Sorgen und Probleme meistens mit meinem Partner.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 4. 2, 3. 3, 2. 4, 1. 5: trifft völlig zu	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 1.692 </td> <td style="text-align:right;"> 0.9540 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> ▇▃▁▂▁▁▁▁ </td> </tr> <tr> <td style="text-align:left;"> ecr_avo_6 </td> <td style="text-align:left;"> Ich werde nervös, wenn mein Partner mir zu nahe kommt. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	1	5	1.535	0.9778	5	▇▂▁▁▁▁▁▁

Scale: ecr_anx

Overview

Reliability: ω_ordinal [95% CI] = 0.73 [0.7;0.76].

Missing: 572.

Likert plot of scale ecr_anx items

Distribution of scale ecr_anx

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	ecr_anx_1, ecr_anx_2, ecr_anx_3, ecr_anx_4R, ecr_anx_5 & ecr_anx_6
Observations:	940
Positive correlations:	15
Number of correlations:	15
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.69
Omega (hierarchical):	0.46
Revelle’s Omega (total):	0.80
Greatest Lower Bound (GLB):	0.79
Coefficient H:	0.88
Coefficient Alpha:	0.69

Confidence intervals

Omega (total):	[0.66; 0.72]
Coefficient Alpha	[0.66; 0.72]

Estimates assuming ordinal level

Ordinal Omega (total):	0.73
Ordinal Omega (hierarch.):	0.65
Ordinal Coefficient Alpha:	0.74

Confidence intervals

Ordinal Omega (total):	[0.7; 0.76]
Ordinal Coefficient Alpha	[0.71; 0.76]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.447, 1.175, 0.892, 0.68, 0.562 & 0.245

Factor analysis (reproducing only shared variance)

	ML1	ML2
ecr_anx_1	-0.063	0.579
ecr_anx_2	0.764	0.030
ecr_anx_3	0.974	-0.035
ecr_anx_4R	0.139	0.364
ecr_anx_5	0.024	0.424
ecr_anx_6	0.447	0.297

Component analysis (reproducing full covariance matrix)

	TC1	TC2
ecr_anx_1	-0.051	0.818
ecr_anx_2	0.879	-0.051
ecr_anx_3	0.917	-0.048
ecr_anx_4R	0.311	0.410
ecr_anx_5	0.024	0.703
ecr_anx_6	0.683	0.211

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
ecr_anx_1	4.03191489361702	4	1.1342306210772	1.06500263900011	2	0.0347365559647886	1	3	5	5	-0.985990255336639	0.271177179212074	0.153191489361702	940	0	940
ecr_anx_2	1.72659574468085	1	1.20632066707452	1.09832630264167	1	0.0358234540293077	1	NA	2	5	1.46544080662468	1.10261844725836	0.102659574468085	940	0	940
ecr_anx_3	1.95425531914894	1	1.61771350236784	1.27189366787002	2	0.0414845972745261	1	NA	3	5	1.10665040325163	-0.0820193661721462	0.0973404255319149	940	0	940
ecr_anx_4R	2.52446808510638	2	1.69801622368749	1.30307951548917	3	0.0425017674687232	1	1	4	5	0.389096672485793	-1.0684170482348	0.137234042553191	940	0	940
ecr_anx_5	3.77446808510638	4	1.31436340153627	1.14645689039591	2	0.0373933007075404	1	2	5	5	-0.762197406366675	-0.28969199054538	0.155851063829787	940	0	940
ecr_anx_6	2.17021276595745	2	1.68345682369202	1.29748095311339	2	0.0423191624983999	1	1	4	5	0.754484100583735	-0.706806007924709	0.103191489361702	940	0	940

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
ecr_anx_1	Ich brauche die Bestätigung, dass mein Partner mich liebt.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 4 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 4.032 </td> <td style="text-align:right;"> 1.065 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> ▁▁▁▃▁▆▁▇ </td> </tr> <tr> <td style="text-align:left;"> ecr_anx_2 </td> <td style="text-align:left;"> Mein Verlangen nach Nähe schreckt meinen Partner manchmal ab. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	1	5	1.727	1.098	5	▇▃▁▁▁▁▁▁
ecr_anx_3	Ich finde, mein Partner will nicht so viel Nähe wie ich.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 119 </td> <td style="text-align:right;"> 572 </td> <td style="text-align:right;"> 0.6217 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 1.954 </td> <td style="text-align:right;"> 1.272 </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> ▇▃▁▂▁▂▁▁ </td> </tr> <tr> <td style="text-align:left;"> ecr_anx_4R </td> <td style="text-align:left;"> Ich mache mir kaum Gedanken darüber, dass ich verlassen werden könnte. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 5. 1: trifft gar nicht zu,<br>4. 2,<br>3. 3,<br>2. 4,<br>1. 5: trifft völlig zu </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		119	572	0.6217	1	2	5	2.525	1.303	5	▇▇▁▅▁▆▁▂
ecr_anx_5	Es frustriert mich, wenn ich gerne meinen Partner bei mir hätte und er nicht da ist.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu	0	s1_demo$hetero_relationship == 1		119	572	0.6217	1	4	5	3.775	1.147	5	▁▂▁▃▁▇▁▇
ecr_anx_6	I wonder wether my partner doesn’t take care of me the way I take care of him.	NA	NA	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was not shown to this user., NA. Item was never rendered for this user.	NA	NA	NA	NA	572	0.6217	1	2	5	2.170	1.298	7	▇▃▁▃▁▂▁▁

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	1512	0	7	7	0	NA

Scale: soi_r_desire

Overview

Reliability: ω_ordinal [95% CI] = 0.87 [0.86;0.88].

Missing: 101.

Likert plot of scale soi_r_desire items

Distribution of scale soi_r_desire

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	soi_r_desire_7, soi_r_desire_9 & soi_r_desire_8
Observations:	1411
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.84
Omega (hierarchical):	0.04
Revelle’s Omega (total):	0.84
Greatest Lower Bound (GLB):	0.86
Coefficient H:	0.86
Coefficient Alpha:	0.83

Confidence intervals

Omega (total):	[0.82; 0.85]
Coefficient Alpha	[0.81; 0.84]

Estimates assuming ordinal level

Ordinal Omega (total):	0.87
Ordinal Omega (hierarch.):	0.87
Ordinal Coefficient Alpha:	0.86

Confidence intervals

Ordinal Omega (total):	[0.86; 0.88]
Ordinal Coefficient Alpha	[0.85; 0.88]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.237, 0.482 & 0.281

Factor analysis (reproducing only shared variance)

	ML1
soi_r_desire_7	0.889
soi_r_desire_9	0.674
soi_r_desire_8	0.801

Component analysis (reproducing full covariance matrix)

	PC1
soi_r_desire_7	0.898
soi_r_desire_9	0.817
soi_r_desire_8	0.874

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
soi_r_desire_7	2.96456413890858	3	1.5221476645003	1.23375348611475	2	0.0328446687302122	1	2	4	5	0.10597799331091	-1.07355022258838	0.122608079376329	1411	0	1411
soi_r_desire_9	2.29057406094968	2	1.29706711702882	1.13888854460338	2	0.0303191985993323	1	1	3.5	5	0.686141792861997	-0.379605850598988	0.139262934089298	1411	0	1411
soi_r_desire_8	2.66761162296244	2	1.17099989444637	1.08212748530216	1	0.0288081202433183	1	1	3	5	0.382946621087799	-0.596469894816504	0.128632175761871	1411	0	1411

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
soi_r_desire_7	How often do you fantasize about having sex with a person with whom you are not in a relationship at the moment?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	3	5	2.965	1.234	5	▃▇▁▆▁▆▁▃
soi_r_desire_9	How often in your everyday life do you spontaneously fantasize about having sex with a stranger who you coincidentally saw somewhere?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	2	5	2.291	1.139	5	▆▇▁▃▁▃▁▁
soi_r_desire_8	How often do you experience sexual arousal when you are in contact with people with which you are not in a relationship at the moment?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	2	5	2.668	1.082	5	▂▇▁▆▁▃▁▁

Scale: soi_r_behavior

Overview

Reliability: ω_ordinal [95% CI] = 0.87 [0.85;0.88].

Missing: 101.

Likert plot of scale soi_r_behavior items

Distribution of scale soi_r_behavior

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	soi_r_behavior_1_discrete, soi_r_behavior_2_discrete & soi_r_behavior_3_discrete
Observations:	1411
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.87
Omega (hierarchical):	0.06
Revelle’s Omega (total):	0.83
Greatest Lower Bound (GLB):	0.86
Coefficient H:	0.90
Coefficient Alpha:	0.81

Confidence intervals

Omega (total):	[0.86; 0.88]
Coefficient Alpha	[0.79; 0.83]

Estimates assuming ordinal level

Ordinal Omega (total):	0.87
Ordinal Omega (hierarch.):	0.87
Ordinal Coefficient Alpha:	0.85

Confidence intervals

Ordinal Omega (total):	[0.85; 0.88]
Ordinal Coefficient Alpha	[0.83; 0.86]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.187, 0.616 & 0.197

Factor analysis (reproducing only shared variance)

	ML1
soi_r_behavior_1_discrete	0.532
soi_r_behavior_2_discrete	0.889
soi_r_behavior_3_discrete	0.903

Component analysis (reproducing full covariance matrix)

	PC1
soi_r_behavior_1_discrete	0.731
soi_r_behavior_2_discrete	0.908
soi_r_behavior_3_discrete	0.910

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
soi_r_behavior_1_discrete	2.34301913536499	2	0.784382084030741	0.885653478529126	1	0.0235776396495983	1	1	3	5	0.923128882744128	0.870286101254663	0.103827072997874	1411	0	1411
soi_r_behavior_2_discrete	2.43090007087172	2	1.86525727440425	1.36574421997834	2	0.0363584921787354	1	1	4	5	0.483237282976052	-1.02435724789276	0.106661941885188	1411	0	1411
soi_r_behavior_3_discrete	2.68674698795181	3	2.16563274374092	1.47160889632433	3	0.0391767944278865	1	1	4	5	0.247137127825115	-1.34101387686825	0.0949681077250177	1411	0	1411

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
soi_r_behavior_1_discrete	Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	2	5	2.343	0.8857	5	▂▇▁▃▁▁▁▁
soi_r_behavior_2_discrete	Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	2	5	2.431	1.3657	5	▇▅▁▅▁▃▁▂
soi_r_behavior_3_discrete	Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	3	5	2.687	1.4716	5	▇▃▁▅▁▅▁▅

Scale: soi_r

Overview

Reliability: ω_ordinal [95% CI] = 0.88 [0.87;0.89].

Missing: 50.

Likert plot of scale soi_r items

Distribution of scale soi_r

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	soi_r_attitude_6r, soi_r_attitude_4, soi_r_attitude_5, soi_r_desire_7, soi_r_desire_9, soi_r_desire_8, soi_r_behavior_1_discrete, soi_r_behavior_2_discrete & soi_r_behavior_3_discrete
Observations:	1411
Positive correlations:	36
Number of correlations:	36
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.87
Omega (hierarchical):	0.69
Revelle’s Omega (total):	0.92
Greatest Lower Bound (GLB):	0.93
Coefficient H:	0.88
Coefficient Alpha:	0.86

Confidence intervals

Omega (total):	[0.86; 0.88]
Coefficient Alpha	[0.85; 0.87]

Estimates assuming ordinal level

Ordinal Omega (total):	0.88
Ordinal Omega (hierarch.):	0.85
Ordinal Coefficient Alpha:	0.88

Confidence intervals

Ordinal Omega (total):	[0.87; 0.89]
Ordinal Coefficient Alpha	[0.87; 0.89]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

4.234, 1.631, 0.947, 0.603, 0.467, 0.346, 0.318, 0.272 & 0.181

Factor analysis (reproducing only shared variance)

	ML1	ML2
soi_r_attitude_6r	0.574	0.217
soi_r_attitude_4	0.468	0.261
soi_r_attitude_5	0.495	0.366
soi_r_desire_7	-0.028	0.866
soi_r_desire_9	0.054	0.663
soi_r_desire_8	-0.018	0.812
soi_r_behavior_1_discrete	0.482	0.157
soi_r_behavior_2_discrete	0.861	-0.078
soi_r_behavior_3_discrete	0.947	-0.062

Component analysis (reproducing full covariance matrix)

	TC1	TC2
soi_r_attitude_6r	0.752	0.120
soi_r_attitude_4	0.653	0.179
soi_r_attitude_5	0.656	0.306
soi_r_desire_7	-0.001	0.891
soi_r_desire_9	0.030	0.791
soi_r_desire_8	-0.006	0.869
soi_r_behavior_1_discrete	0.590	0.092
soi_r_behavior_2_discrete	0.857	-0.146
soi_r_behavior_3_discrete	0.912	-0.110

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
soi_r_attitude_6r	3.53649893692417	4	1.98501440053078	1.40890539090841	3	0.0375075177962195	1	2	5	5	-0.536260254689111	-1.06465344450765	0.122608079376329	1411	0	1411
soi_r_attitude_4	3.57760453579022	4	1.88386688179501	1.37254030243014	3	0.0365394157419144	1	2	5	5	-0.539930643050922	-0.99820806842523	0.113394755492558	1411	0	1411
soi_r_attitude_5	2.90432317505315	3	2.11778980754055	1.45526279672798	2	0.0387416327587885	1	1	4	5	0.0712850730400973	-1.388292057322	0.106661941885188	1411	0	1411
soi_r_desire_7	2.96456413890858	3	1.5221476645003	1.23375348611475	2	0.0328446687302122	1	2	4	5	0.10597799331091	-1.07355022258838	0.122608079376329	1411	0	1411
soi_r_desire_9	2.29057406094968	2	1.29706711702882	1.13888854460338	2	0.0303191985993323	1	1	3.5	5	0.686141792861997	-0.379605850598988	0.139262934089298	1411	0	1411
soi_r_desire_8	2.66761162296244	2	1.17099989444637	1.08212748530216	1	0.0288081202433183	1	1	3	5	0.382946621087799	-0.596469894816504	0.128632175761871	1411	0	1411
soi_r_behavior_1_discrete	2.34301913536499	2	0.784382084030741	0.885653478529126	1	0.0235776396495983	1	1	3	5	0.923128882744128	0.870286101254663	0.103827072997874	1411	0	1411
soi_r_behavior_2_discrete	2.43090007087172	2	1.86525727440425	1.36574421997834	2	0.0363584921787354	1	1	4	5	0.483237282976052	-1.02435724789276	0.106661941885188	1411	0	1411
soi_r_behavior_3_discrete	2.68674698795181	3	2.16563274374092	1.47160889632433	3	0.0391767944278865	1	1	4	5	0.247137127825115	-1.34101387686825	0.0949681077250177	1411	0	1411

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
soi_r_attitude_6r	I do not want to have sex with a person until I am sure that we will have a long-term, serious relationship.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.527	1.4051	6	▃▃▁▃▁▆▁▇
soi_r_attitude_4	Sex without love is OK.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	4	5	3.565	1.3713	6	▂▃▁▃▁▅▁▇
soi_r_attitude_5	I can imagine myself being comfortable and enjoying “casual” sex with different partners.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	50	0.9669	1	3	5	2.901	1.4571	6	▇▇▁▅▁▇▁▆
soi_r_desire_7	How often do you fantasize about having sex with a person with whom you are not in a relationship at the moment?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	3	5	2.965	1.2338	5	▃▇▁▆▁▆▁▃
soi_r_desire_9	How often in your everyday life do you spontaneously fantasize about having sex with a stranger who you coincidentally saw somewhere?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	2	5	2.291	1.1389	5	▆▇▁▃▁▃▁▁
soi_r_desire_8	How often do you experience sexual arousal when you are in contact with people with which you are not in a relationship at the moment?	haven_labelled	never, 2. rarely, 3. about one a month, 4. Etwa einmal die Woche , 5. Almost every day	101	0.9332	1	2	5	2.668	1.0821	5	▂▇▁▆▁▃▁▁
soi_r_behavior_1_discrete	Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	2	5	2.343	0.8857	5	▂▇▁▃▁▁▁▁
soi_r_behavior_2_discrete	Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	2	5	2.431	1.3657	5	▇▅▁▅▁▃▁▂
soi_r_behavior_3_discrete	Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben?	haven_labelled	0, 2. 1, 3. 2-3, 4. 4-7, 5. 8 or more	101	0.9332	1	3	5	2.687	1.4716	5	▇▃▁▅▁▅▁▅

Scale: spms_rel

Overview

Reliability: ω_ordinal [95% CI] = 0.89 [0.88;0.9].

Missing: 570.

Likert plot of scale spms_rel items

Distribution of scale spms_rel

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	spms_self_1, spms_self_2 & spms_self_3R
Observations:	1413
Positive correlations:	3
Number of correlations:	3
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.85
Omega (hierarchical):	0.04
Revelle’s Omega (total):	0.86
Greatest Lower Bound (GLB):	0.87
Coefficient H:	0.87
Coefficient Alpha:	0.85

Confidence intervals

Omega (total):	[0.84; 0.87]
Coefficient Alpha	[0.84; 0.87]

Estimates assuming ordinal level

Ordinal Omega (total):	0.89
Ordinal Omega (hierarch.):	0.89
Ordinal Coefficient Alpha:	0.89

Confidence intervals

Ordinal Omega (total):	[0.88; 0.9]
Ordinal Coefficient Alpha	[0.88; 0.9]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.329, 0.4 & 0.271

Factor analysis (reproducing only shared variance)

	ML1
spms_self_1	0.821
spms_self_2	0.881
spms_self_3R	0.746

Component analysis (reproducing full covariance matrix)

	PC1
spms_self_1	0.885
spms_self_2	0.903
spms_self_3R	0.854

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
spms_self_1	3.6135881104034	4	1.06021183305967	1.02966588418752	1	0.0273920945851273	1	3	5	5	-0.604890632650613	-0.0677967009074301	0.128096249115357	1413	0	1413
spms_self_2	3.4069355980184	3	1.03896036199676	1.01929405080024	1	0.0271161737786514	1	2	4	5	-0.371789608268124	-0.331087106000438	0.159235668789809	1413	0	1413
spms_self_3R	3.47487615003539	4	1.33453123465032	1.15521912841258	1	0.0307321745024066	1	3	5	5	-0.551497243292905	-0.486209335381379	0.114295824486907	1413	0	1413

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
spms_self_1	Men notice me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	4	5	3.614	1.030	6	▁▂▁▅▁▇▁▃
spms_self_2	Men feel attracted towards me.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	3	5	3.407	1.019	6	▁▃▁▇▁▇▁▃
spms_self_3R	I seldomly recieve compliments from men.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	99	0.9345	1	4	5	3.475	1.155	6	▂▃▁▅▁▇▁▃

Scale: partner_attractiveness_sexual

Overview

Reliability: ω_ordinal [95% CI] = 0.83 [0.81;0.84].

Missing: 570.

Likert plot of scale partner_attractiveness_sexual items

Distribution of scale partner_attractiveness_sexual

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	partner_sexiness, partner_attractiveness_shortterm, partner_attractiveness_face & partner_attractiveness_body
Observations:	942
Positive correlations:	6
Number of correlations:	6
Percentage positive correlations:	100

Estimates assuming interval level

Omega (total):	0.74
Omega (hierarchical):	0.12
Revelle’s Omega (total):	0.15
Greatest Lower Bound (GLB):	0.83
Coefficient H:	0.85
Coefficient Alpha:	0.73

Confidence intervals

Omega (total):	[0.71; 0.77]
Coefficient Alpha	[0.7; 0.75]

Estimates assuming ordinal level

Ordinal Omega (total):	0.83
Ordinal Omega (hierarch.):	0.83
Ordinal Coefficient Alpha:	0.81

Confidence intervals

Ordinal Omega (total):	[0.81; 0.84]
Ordinal Coefficient Alpha	[0.79; 0.83]

Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.

Eigen values

2.399, 0.802, 0.503 & 0.297

Factor analysis (reproducing only shared variance)

	ML1
partner_sexiness	0.850
partner_attractiveness_shortterm	0.418
partner_attractiveness_face	0.634
partner_attractiveness_body	0.825

Component analysis (reproducing full covariance matrix)

	PC1
partner_sexiness	0.873
partner_attractiveness_shortterm	0.567
partner_attractiveness_face	0.759
partner_attractiveness_body	0.860

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
partner_sexiness	3.91825902335456	4	0.984809718170352	0.992375794832962	2	0.032333350594864	1	3	5	5	-0.757595124942607	0.0698143894960852	0.161889596602972	942	0	942
partner_attractiveness_shortterm	2.83864118895966	3	1.94205468727085	1.39357622226804	2	0.0454051668832199	1	1	4	5	0.167076555329483	-1.22880570214939	0.111464968152866	942	0	942
partner_attractiveness_face	4.39384288747346	5	0.613054504513652	0.782977971921083	1	0.0255108008538653	1	4	NA	5	-1.26939323874952	1.45465708755615	0.161889596602972	942	0	942
partner_attractiveness_body	4.12420382165605	4	0.835779121005571	0.914209560771255	1	0.029786557067899	1	3	5	5	-0.900179528662195	0.213095071108578	0.188428874734607	942	0	942

Scattermatrix

Scatterplot

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_sexiness	Mein Partner ist sehr sexy.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu, NA. Item was not shown to this user., NA. Item was never rendered for this user.	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 82 </td> <td style="text-align:right;"> 570 </td> <td style="text-align:right;"> 0.623 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 4 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 3.918 </td> <td style="text-align:right;"> 0.9924 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> ▁▂▁▅▁▇▁▇ </td> </tr> <tr> <td style="text-align:left;"> partner_attractiveness_shortterm </td> <td style="text-align:left;"> Mein Partner ist sehr attraktiv für einen One-Night-Stand oder eine kurze sexuelle Affäre. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu,<br>NA. Item was not shown to this user.,<br>NA. Item was never rendered for this user. </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		82	570	0.623	1	3	5	2.839	1.3936	7	▇▇▁▇▁▆▁▆
partner_attractiveness_face	Ich finde das Gesicht meines Partners sehr attraktiv.	rating_button	5 agree	haven_labelled	1: trifft gar nicht zu, 2. 2, 3. 3, 4. 4, 5. 5: trifft völlig zu, NA. Item was not shown to this user., NA. Item was never rendered for this user.	0	s1_demo\(hetero_relationship == 1 </td> <td style="text-align:left;"> </td> <td style="text-align:left;"> 82 </td> <td style="text-align:right;"> 570 </td> <td style="text-align:right;"> 0.623 </td> <td style="text-align:left;"> 1 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:left;"> 5 </td> <td style="text-align:right;"> 4.394 </td> <td style="text-align:right;"> 0.7830 </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> ▁▁▁▂▁▅▁▇ </td> </tr> <tr> <td style="text-align:left;"> partner_attractiveness_body </td> <td style="text-align:left;"> Ich finde meinen Partner körperlich sehr attraktiv. </td> <td style="text-align:left;"> rating_button </td> <td style="text-align:left;"> 5 agree </td> <td style="text-align:left;"> haven_labelled </td> <td style="text-align:left;"> 1. 1: trifft gar nicht zu,<br>2. 2,<br>3. 3,<br>4. 4,<br>5. 5: trifft völlig zu,<br>NA. Item was not shown to this user.,<br>NA. Item was never rendered for this user. </td> <td style="text-align:left;"> 0 </td> <td style="text-align:left;"> s1_demo\)hetero_relationship == 1		82	570	0.623	1	4	5	4.124	0.9142	7	▁▁▁▃▁▇▁▇

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "s2_initial",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=1512 rows and 191 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "created", "modified", "ended", "expired", "bfi_open_1", "narq_5", "narq_3", "bfi_agree_2", "pvd_infectability_1", "bfi_consc_2r", "soi_r_attitude_6r", "asendorpf_shyness_4r", "bfi_neuro_2r", "bfi_open_2", "bfi_extra_1", "bfi_extra_3", "bfi_agree_3r", "soi_r_attitude_4", "narq_15", "bfi_consc_3", "soi_r_attitude_5", "narq_2", "asendorpf_shyness_2", "bfi_agree_1r", "bfi_consc_1", "narq_11", "bfi_neuro_1", "bfi_extra_2r", "bfi_neuro_3", "narq_18", "bfi_open_3", "asendorpf_shyness_5", "bfi_extra_4", "narq_16", "bfi_agree_4", "bfi_consc_9r", "bfi_neuro_4", "bfi_open_4", "bfi_extra_5r", "bfi_agree_5", "narq_1", "bfi_consc_4r", "bfi_neuro_5r", "bfi_open_5", "bfi_extra_6", "narq_14", "bfi_agree_6r", "bfi_consc_5", "asendorpf_shyness_3r", "pvd_germ_aversion_2", "pvd_germ_aversion_3R", "bfi_neuro_8", "pvd_infectability_3R", "pvd_germ_aversion_1", "feel_safe_walking_dark", "feel_safe_violent_crime", "feel_safe_sexual_assault", "feel_safe_theft", "bfi_open_6", "narq_17", "bfi_extra_7r", "bfi_agree_7", "narq_4", "asendorpf_shyness_1", "bfi_consc_6", "bfi_neuro_6r", "bfi_open_7r", "narq_13", "bfi_extra_8", "bfi_agree_8r", "narq_6", "bfi_consc_7", "bfi_neuro_7", "narq_7", "bfi_open_8", "narq_12", "bfi_open_9r", "bfi_agree_9", "narq_8", "bfi_consc_8r", "narq_9", "narq_10", "bfi_open_10", "pvd_infectability_2", "pvd_germ_aversion_4R", "spms_partner_1", "spms_partner_2", "spms_partner_3R", "satisfaction_sexual_intercourse", "satisfaction_single_life", "investment_potential_partner", "timeperiod_potential_partner", "characteristics_potential_partner", "quantity_potential_partner", "sexual_partner", "fling_frequency", "fling_frequency_2", "relationship_importance", "relationship_importance_partner", "partner_attractiveness_longterm", "partner_attractiveness_shortterm", "partner_attractiveness_face", "partner_attractiveness_body", "attractiveness_warmth", "partner_attractiveness_trust", "net_income_partner", "partner_sexiness", "partner_strength", "partner_feel_safe", "spms_self_1", "spms_self_2", "spms_self_3R", "meet_potential_partner", "partner_height", "meet_potential_partner_other", "partner_weight", "soi_r_behavior_1", "soi_r_behavior_2", "soi_r_behavior_3", "soi_r_desire_9", "soi_r_desire_7", "soi_r_desire_8", "relationship_problems", "relationship_satisfaction_overall", "relationship_conflict", "relationship_satisfaction_2", "relationship_satisfaction_3", "alternatives_1", "alternatives_2", "alternatives_3", "alternatives_4", "alternatives_5", "alternatives_6", "investment_1", "investment_2", "investment_3", "commitment_1", "commitment_2", "commitment_3", "communal_strength_1", "communal_strength_2R", "communal_strength_3", "communal_strength_4", "sexual_communal_strength_1", "sexual_communal_strength_2", "sexual_communal_strength_3", "ecr_avo_1R", "ecr_anx_1", "ecr_avo_2", "ecr_anx_2", "ecr_anx_3", "ecr_avo_3R", "ecr_avo_4", "ecr_anx_4R", "ecr_avo_5R", "ecr_anx_5", "ecr_avo_6", "ecr_anx_6", "free_not_covered", "narq", "bfi_open", "bfi_extra", "bfi_agree", "soi_r_attitude", "bfi_consc", "asendorpf_shyness", "bfi_neuro", "pvd_germ_aversion", "pvd_infectability", "spms_partner", "spms_self", "relationship_satisfaction", "alternatives", "investment", "commitment", "communal_strength", "sexual_communal_strength", "ecr_avo", "ecr_anx", "short", "soi_r_desire", "soi_r_behavior_1_discrete", "soi_r_behavior_2_discrete", "soi_r_behavior_3_discrete", "soi_r_behavior", "soi_r", "spms_rel", "partner_attractiveness_sexual", "relationship_conflict_R", "relationship_problems_R"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_1",
      "description": "I see myself as someone who is original, comes up with new ideas.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_5",
      "description": "I enjoy my successes very much.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_3",
      "description": "I show other how special I am.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_2",
      "description": "I see myself as someone who is helpful and unselfish with others.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_infectability_1",
      "description": "I am generally very prone to colds, flus and other infections.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_2r",
      "description": "I see myself as someone who can be somewhat careless.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_attitude_6r",
      "description": "I do not want to have sex with a person until I am sure that we will have a long-term, serious relationship.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness_4r",
      "description": "It is easy for me to get in touch with strangers.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_2r",
      "description": "I see myself as someone who is relaxed, handles stress well.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_2",
      "description": "I see myself as someone who is curious about many different things.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_1",
      "description": "I see myself as someone who is talkative.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_3",
      "description": "I see myself as someone who is full of energy.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_3r",
      "description": "I see myself as someone who starts quarrels with others.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_attitude_4",
      "description": "Sex without love is OK.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_15",
      "description": "Being a very special person gives me a lot of strength.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_3",
      "description": "I see myself as someone who is a reliable worker.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_attitude_5",
      "description": "I can imagine myself being comfortable and enjoying \"casual\" sex with different partners.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_2",
      "description": "I will someday be famous.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness_2",
      "description": "I feel inhibited when I am with other people.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_1r",
      "description": "I see myself as someone who tends to find fault with others.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_1",
      "description": "I see myself as someone who does a thorough job.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_11",
      "description": "I often get annoyed when I am criticized.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_1",
      "description": "I see myself as someone who is depressed, blue.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_2r",
      "description": "I see myself as someone who is reserved.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_3",
      "description": "I see myself as someone who an be tense.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_18",
      "description": "Mostly, I am very adept at dealing with other people.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_3",
      "description": "I see myself as someone who is ingenious, a deep thinker.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness_5",
      "description": "I feel uneasy at parties and in large groups.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_4",
      "description": "I see myself as someone who generates a lot of enthusiasm.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_16",
      "description": "I manage to be the center of attention with my outstanding contributions.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_4",
      "description": "I see myself as someone who has a forgiving nature.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_9r",
      "description": "Ich sehe mich selbst als jemanden, der dazu neigt, unordentlich zu sein.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_4",
      "description": "I see myself as someone who worries a lot.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_4",
      "description": "I see myself as someone who has an active imagination.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_5r",
      "description": "I see myself as someone who tends to be quiet.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_5",
      "description": "I see myself as someone who is generally trusting.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_1",
      "description": "I am great.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_4r",
      "description": "I see myself as someone who tends to be disorganized.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_5r",
      "description": "I see myself as someone who is emotionally stable, not easily upset.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_5",
      "description": "I see myself as someone who is inventive.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_6",
      "description": "I see myself as someone who has an assertive personality.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_14",
      "description": "Other people are worth nothing.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_6r",
      "description": "I see myself as someone who can be cold and aloof.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_5",
      "description": "I see myself as someone who perserveres until the task is finished.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness_3r",
      "description": "I easily approach others.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_germ_aversion_2",
      "description": "I _don't_ like using a pencil which another person has obviously chewed on.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_germ_aversion_3R",
      "description": "I don't mind sharing a water bottle with a friend.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_8",
      "description": "I see myself as someone who gets nervous easily.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_infectability_3R",
      "description": "My immune system protects me from most illnesses which other people get.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_germ_aversion_1",
      "description": "I preferably wash my hands directly after shaking someones hand.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "feel_safe_walking_dark",
      "description": "I feel safe in my neighbourhood when I am out and about alone at night.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "feel_safe_violent_crime",
      "description": "I feel safe from violent crimes in my neighbourhood.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "feel_safe_sexual_assault",
      "description": "I feel safe from sexual assaults in my neighbourhood.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "feel_safe_theft",
      "description": "I feel safe from theft in my neighbourhood.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_6",
      "description": "I see myself as someone who values artistic, aesthetic experiences.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_17",
      "description": "Most people are somehow losers.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_7r",
      "description": "I see myself as someone who is sometimes shy, inhibited.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_7",
      "description": "I see myself as someone who is considerate and kind to almost everyone.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_4",
      "description": "I react annoyed if another person steals the show from me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness_1",
      "description": "I feel shy in the presence of others.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_6",
      "description": "Ich sehe mich selbst als jemanden, der tüchtig ist und flott arbeitet.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_6r",
      "description": "Ich sehe mich selbst als jemanden, der ruhig bleibt, selbst in angespannten Situationen ausgeglichen ist.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_7r",
      "description": "I see myself as someone who preferes work that is routine.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_13",
      "description": "Most people won't achieve anything.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra_8",
      "description": "I see myself as someone who is outgoing, sociable.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_8r",
      "description": "I see myself as someone who is sometimes rude to others.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_6",
      "description": "I secretly take pleasure in the failures of my rivals.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_7",
      "description": "I see myself as someone who does things efficiently.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro_7",
      "description": "Ich sehe mich selbst als jemanden, der leicht nervös und unsicher wird.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "narq_7",
      "description": "Most of the time I am able to draw people's attention to myself in conversations.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_8",
      "description": "I see myself as someone who likes to reflect, play with ideas.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_12",
      "description": "I can barely stand it if another person is at the center of events.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_9r",
      "description": "I see myself as someone who has few artistic interests.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree_9",
      "description": "I see myself as someone who likes to cooperate with others.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_8",
      "description": "I deserve to be seen as a great personality.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc_8r",
      "description": "I see myself as someone who is easily distracted.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_9",
      "description": "I want my rivals to fail.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "narq_10",
      "description": "I enjoy it when another person is inferior to me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open_10",
      "description": "I see myself as someone who is sophisticated in art, music and/or literature.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_infectability_2",
      "description": "If there is an illness \"going around\" I'll probably catch it too.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "pvd_germ_aversion_4R",
      "description": "I don't worry when I'm surrounded by people who are ill.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_partner_1",
      "description": "Women take notice of my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_partner_2",
      "description": "Women feel attracted towards my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_partner_3R",
      "description": "My partner seldomly recieves compliments from women.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "satisfaction_sexual_intercourse",
      "description": "The sex with my partner is very satisfying.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "satisfaction_single_life",
      "description": "I am happy with my single life.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "investment_potential_partner",
      "description": "I invest a lot in order to get to know someone.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "timeperiod_potential_partner",
      "description": "I am currently looking for the following kind of partnership.",
      "value": "no_interest. I am not looking for a relationship right now.,\none_night. short-term (One Night Stand),\nshort. short-term (affair),\nlong. long-term (committed relationship)",
      "maxValue": "short",
      "minValue": "long",
      "@type": "propertyValue"
    },
    {
      "name": "characteristics_potential_partner",
      "description": "A partner that I would some to question should have following traits.",
      "value": "body. physical attractiveness,\nface. attractive face,\nmoney. high income,\nsocial_status. high social status,\nintelligence. intelligence,\nhumor. humour,\ncreativity. creativity,\ntrustworthiness. trustworthiness,\npersonality. interesting personality",
      "maxValue": "trustworthiness",
      "minValue": "body",
      "@type": "propertyValue"
    },
    {
      "name": "quantity_potential_partner",
      "description": "There are many acceptable singles in my surrounding area.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_partner",
      "description": "If I am sexually active then usually with men...",
      "value": "longterm. with whom I can imagine myself having a long-term relationship,\nfriends. with whom I am friends,\nmet_before. that I have met a few time before,\nnew. that I have met on the same day/night for the first time",
      "maxValue": "new",
      "minValue": "friends",
      "@type": "propertyValue"
    },
    {
      "name": "fling_frequency",
      "description": "In a month I averagely have sexual contact with another person about this often.",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "fling_frequency_2",
      "description": "In a month I averagley have _the possibility_ of having sexual contact with another person about this often.",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_importance",
      "description": "The relationship with my partner is very important to me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_importance_partner",
      "description": "The relationship with me is very important to my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_longterm",
      "description": "Mein Partner ist sehr attraktiv für eine langfristige Beziehung (z.B. als möglicher Ehepartner).",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_shortterm",
      "description": "Mein Partner ist sehr attraktiv für einen One-Night-Stand oder eine kurze sexuelle Affäre.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_face",
      "description": "Ich finde das Gesicht meines Partners sehr attraktiv.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_body",
      "description": "Ich finde meinen Partner körperlich sehr attraktiv.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "attractiveness_warmth",
      "description": "I feel very secure when I am with my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_trust",
      "description": "Das Vertrauen zwischen meinem Partner und mir ist sehr stark.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "net_income_partner",
      "description": "What amount of money does your partner have at his disposal every month (netto)?",
      "value": "euro_lt_500.  < 500€,\neuro_500_1000. 500-1000€,\neuro_1000_2000. 1000-2000€,\neuro_2000_3000. 2000-3000€,\neuro_gt_3000. > 3000€,\ndont_know. I don't know,\ndont_tell. I do not want to state",
      "maxValue": "euro_lt_500",
      "minValue": "dont_know",
      "@type": "propertyValue"
    },
    {
      "name": "partner_sexiness",
      "description": "Mein Partner ist sehr sexy.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_strength",
      "description": "My partner is physically stronger than a lot of other men.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "partner_feel_safe",
      "description": "My partner makes my feel very safe.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_self_1",
      "description": "Men notice me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_self_2",
      "description": "Men feel attracted towards me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "spms_self_3R",
      "description": "I seldomly recieve compliments from men.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "meet_potential_partner",
      "description": "I do the following in order to get to know a potential partner.",
      "value": "no_interest. I don't want to get to know someone currently.,\ndating_app. dating app,\nonline_dating. dating exchange (internet),\ncontact_ad. personal ad,\ngoing_out. going out (bars, clubs, other parties),\nsports. Seeking contacts in sports classes/sports clubs/ gym,\nsocial_networks. Searching in social networks,\nfriends. Meeting up with friends/acquaintances/colleagues,\nother. Other ways, which are:",
      "maxValue": "sports",
      "minValue": "contact_ad",
      "@type": "propertyValue"
    },
    {
      "name": "partner_height",
      "description": "What is the height of your partner (in cm)?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "meet_potential_partner_other",
      "description": "Other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_weight",
      "description": "What is the weight of your partner in kg (without clothes)?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_1",
      "description": "With how many different people have you had sexual intercourse in the last 12 months?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_2",
      "description": "With how many different people have you had sexualy intercourse with only once in your life?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_3",
      "description": "How many different people have you had sexual intercourse with, without being interested in having a long-term relationship with that person?",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_desire_9",
      "description": "How often in your everyday life do you spontaneously fantasize about having sex with a stranger who you coincidentally saw somewhere?",
      "value": "1. never,\n2. rarely,\n3. about one a month,\n4. Etwa einmal die Woche ,\n5. Almost every day",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_desire_7",
      "description": "How often do you fantasize about having sex with a person with whom you are not in a relationship at the moment?",
      "value": "1. never,\n2. rarely,\n3. about one a month,\n4. Etwa einmal die Woche ,\n5. Almost every day",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_desire_8",
      "description": "How often do you experience sexual arousal when you are in contact with people with which you are not in a relationship at the moment?",
      "value": "1. never,\n2. rarely,\n3. about one a month,\n4. Etwa einmal die Woche ,\n5. Almost every day",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_problems",
      "description": "There are many problems in my relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_satisfaction_overall",
      "description": "All in all I am happy with my relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_conflict",
      "description": "There are often quarrels/disagreements in my partnership.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_satisfaction_2",
      "description": "My needs (e.g. intimacy, quality time, ...) are met in our relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_satisfaction_3",
      "description": "Our relationship makes me very happy.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_1",
      "description": "I think other people besides my partner, that I could have a relationship with, are very attractive.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_2",
      "description": "Alternatives to our relationship (e.g. other relationship, spending time with friends, spending time alone...) are very appealing to me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_3",
      "description": "I flirt with men without them knowing that I am in a relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_4",
      "description": "My needs (e.g. intimacy, quality time, ...) can easily be fulfilled in another relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_5",
      "description": "I am very aware of the fact that there are many other attractive partners \"out there\" for me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "alternatives_6",
      "description": "It would be easy for me to find a partner for a new relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "investment_1",
      "description": "I have invested a lot in this relationship, which I would loose, if it were to end.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "investment_2",
      "description": "A lot of aspects of my life are so closely linked to my partner (e.g. leisure activities, mutual circle of friends and acquaintances) that I would lose them if we would break up.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "investment_3",
      "description": "I invest a lot (e.g. time, small courtesies, gifts) into the relationship with my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "commitment_1",
      "description": "I wish that our relationship lasts for a very long time.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "commitment_2",
      "description": "I am orientated towards a long-term future of our relationship (e.g. picture us being together in a few years time, make plans for the future).",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "commitment_3",
      "description": "I would throw me very off balance if our relationship were to end in the near future.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "communal_strength_1",
      "description": "To meet the needs of my partner is a high priority for me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "communal_strength_2R",
      "description": "Für meinen Partner Opfer zu bringen widerstrebt mir.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "communal_strength_3",
      "description": "I would go out of my way in order to do something for my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "communal_strength_4",
      "description": "Whenever my partner doesn't feel well, I am there for him, even if it means pushing my own need to the background.\n",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_communal_strength_1",
      "description": "I try very hard to meet the sexual needs of my partner.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_communal_strength_2",
      "description": "The sexual needs of my partner are of high priority to me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_communal_strength_3",
      "description": "I order to meet the sexual need of my partner I am willing to push my own sexual needs to the background.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_1R",
      "description": "Es hilft mir, mich an meinen Partner zu wenden, wenn ich es brauche.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_1",
      "description": "Ich brauche die Bestätigung, dass mein Partner mich liebt.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_2",
      "description": "Ich möchte meinem Partner nahe sein, halte mich aber trotzdem zurück.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_2",
      "description": "Mein Verlangen nach Nähe schreckt meinen Partner manchmal ab.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_3",
      "description": "Ich finde, mein Partner will __nicht__ so viel Nähe wie ich.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_3R",
      "description": "Ich wende mich oft an meinen Partner, z. B. wenn ich Trost oder Bestätigung brauche.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_4",
      "description": "Ich versuche zu vermeiden, meinem Partner zu nahe zu kommen.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_4R",
      "description": "Ich mache mir kaum Gedanken darüber, dass ich verlassen werden könnte.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_5R",
      "description": "Ich bespreche meine Sorgen und Probleme meistens mit meinem Partner.",
      "value": "5. 1: trifft gar nicht zu,\n4. 2,\n3. 3,\n2. 4,\n1. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_5",
      "description": "Es frustriert mich, wenn ich gerne meinen Partner bei mir hätte und er nicht da ist.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo_6",
      "description": "Ich werde nervös, wenn mein Partner mir zu nahe kommt.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx_6",
      "description": "I wonder wether my partner doesn't take care of me the way I take care of him.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "free_not_covered",
      "description": "In case you were unable to answer some questions or only able to answer the incorrectly or apart from this you are under the impression that we have missed something important, please state this here. <small>optional<\/small>",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "narq",
      "description": "18 narq items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_open",
      "description": "10 bfi_open items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_extra",
      "description": "8 bfi_extra items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_agree",
      "description": "9 bfi_agree items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_attitude",
      "description": "3 soi_r_attitude items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_consc",
      "description": "9 bfi_consc items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "asendorpf_shyness",
      "description": "5 asendorpf_shyness items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "bfi_neuro",
      "description": "8 bfi_neuro items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "pvd_germ_aversion",
      "description": "4 pvd_germ_aversion items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "pvd_infectability",
      "description": "3 pvd_infectability items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "spms_partner",
      "description": "3 spms_partner items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "spms_self",
      "description": "3 spms_self items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_satisfaction",
      "description": "Relationship satisfaction",
      "@type": "propertyValue"
    },
    {
      "name": "alternatives",
      "description": "6 alternatives items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "investment",
      "description": "3 investment items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "commitment",
      "description": "3 commitment items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "communal_strength",
      "description": "4 communal_strength items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "sexual_communal_strength",
      "description": "3 sexual_communal_strength items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_avo",
      "description": "6 ecr_avo items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "ecr_anx",
      "description": "6 ecr_anx items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_desire",
      "description": "3 soi_r_desire items aggregated by robust_rowmeans",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_1_discrete",
      "description": "Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt?",
      "value": "1. 0,\n2. 1,\n3. 2-3,\n4. 4-7,\n5. 8 or more",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_2_discrete",
      "description": "Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt?",
      "value": "1. 0,\n2. 1,\n3. 2-3,\n4. 4-7,\n5. 8 or more",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior_3_discrete",
      "description": "Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben?",
      "value": "1. 0,\n2. 1,\n3. 2-3,\n4. 4-7,\n5. 8 or more",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "soi_r_behavior",
      "description": "Sociosexual inventory-revised: Behaviour Subscale",
      "@type": "propertyValue"
    },
    {
      "name": "soi_r",
      "description": "Sociosexual inventory-revised",
      "@type": "propertyValue"
    },
    {
      "name": "spms_rel",
      "description": "3 spms_self items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "partner_attractiveness_sexual",
      "description": "Partner's sexual attractiveness",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_conflict_R",
      "description": "Es gibt oft Streit/Meinungsverschiedenheiten in meiner Partnerschaft.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_problems_R",
      "description": "Es gibt viele Probleme in meiner Beziehung.",
      "value": "1. 1: trifft gar nicht zu,\n2. 2,\n3. 3,\n4. 4,\n5. 5: trifft völlig zu,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    }
  ]
}`

Diary

Participants received invitations to fill out the diary daily over a period of 70 days.

Metadata

Description

Dataset name: Goettigen Ovulatory Cycle Diaries 2

A 70-day online diary study focusing on menstrual cycles, sexuality, mood, and behaviour

Metadata for search engines

• Temporal Coverage: 2014-2015

• Spatial Coverage: German-speaking countries, online

• Citation: Arslan, R.C., Driebe, XXXX

• URL: https://rubenarslan.github.io/gocd2

• Identifier: https://doi.org/10.17605/OSF.IO/XXXX

• Date published: 2020-06-02

• Creator:

  name	value
  1	Ruben C. Arslan

x session short created_date created modified ended expired browser andere andere_uc anderen anderer days_done days_since_beginning days_since_last_entry never_skipped_more_than_2 money_earned refer_time_period good_mood self_esteem relationship_satisfaction stressed irritable loneliness risk_taking illness_pain illness_pain_specific illness_pain_other partner_illness_pain partner_illness_pain_specific partner_illness_pain_other following_usual_routine everyday_specify travel travel_how sleep_amount sleep_quality sleep_fell_asleep_time sleep_awoke_time time_friends time_work_uni time_sports time_people time_family food_amount meat alcohol smoking grooming_1 grooming_2 grooming_time_spent vanity_1 vanity_2 vanity_3 grooming_activities skin hair social_life_active social_life_saw_people social_life_thought_about social_life_free relationship_change relationship_change_specify night_spent_with_partner contact_partner saw_partner_last love_showed_to_partner love_shown_by_partner mate_retention1 mate_retention2 mate_retention3 conflict_partner desirability high_libido is_single sexual_desire_for_whom sexual_initiation_self sexual_initiation_partner in_pair_desire_1 in_pair_desire_2R in_pair_desire_3R in_pair_desire_4 in_pair_went_out in_pair_desire_6 in_pair_desire_7 in_pair_desire_8 in_pair_desire_9 in_pair_desire_10 in_pair_desire_11 in_pair_desire_12 in_pair_desire_13 in_pair_desire_14 in_pair_desire_5R extra_pair_desire_1 extra_pair_desire_2R extra_pair_desire_3R extra_pair_desire_4 extra_pair_went_out extra_pair_desire_6 extra_pair_desire_7 extra_pair_desire_8 extra_pair_desire_9 extra_pair_desire_10 extra_pair_desire_11 extra_pair_desire_12 extra_pair_desire_13 extra_pair_desire_14 extra_pair_desire_5R extra_pair_desire_16 sexual_desire_wants_desire sexual_desire_fulfill_sex_needs sexual_desire_fulfill_partner sexual_desire_for_activity last_had_sex sex_active no_sex_reason sex_acts sex_1_time sex_1_withwhom sex_1_activity sex_1_contraception sex_1_happy sex_1_enjoyed sex_1_partner_enjoyed sex_1_fantasy_partner sex_1_fantasy_actions sex_2_time sex_2_withwhom sex_2_activity sex_2_contraception sex_2_happy sex_2_enjoyed sex_2_partner_enjoyed sex_2_fantasy_partner sex_2_fantasy_actions menstrual_pain special_events_love_life menstruation_since_last_entry menstruation_today menstrual_onset menstrual_onset_date spotting answered_honestly_today dishonest_answers notes_to_us grooming vanity mate_retention in_pair_desire extra_pair_desire weekday weekend sleep_duration first_diary_day progesterone_mean progesterone_diff progesterone_log_mean progesterone_log_diff estradiol_mean estradiol_diff estradiol_log_mean estradiol_log_diff ibl_estradiol_mean ibl_estradiol_diff ibl_estradiol_log_mean ibl_estradiol_log_diff testosterone_mean testosterone_diff testosterone_log_mean testosterone_log_diff cortisol_mean cortisol_diff cortisol_log_mean cortisol_log_diff window_length date_of_ovulation_awareness diary_day_observation next_menstrual_onset last_menstrual_onset menstrual_onset_days_until menstrual_onset_days_since date_origin menstruation_labelled next_menstrual_onset_if_no_last day_number number_of_cycles cycle_nr cycle_length cycle_nr_fully_observed mean_cycle_length_diary median_cycle_length_diary next_menstrual_onset_inferred RCD_inferred luteal_BC follicular_FC day_lh_surge day_of_ovulation day_of_ovulation_inferred day_of_ovulation_forward_counted date_of_ovulation_BC date_of_ovulation_inferred date_of_ovulation_forward_counted date_of_ovulation_LH DRLH date_of_ovulation_awareness_nr fertile_awareness date_of_ovulation_avg_follicular date_of_ovulation_avg_luteal date_of_ovulation_avg_luteal_inferred FCD RCD DAL RCD_squished RCD_squished_rounded RCD_inferred_squished RCD_rel_to_ovulation RCD_fab conception_risk_lh fertile_lh prc_stirn_b prc_wcx_b fertile_narrow fertile_broad fertile_window premenstrual_phase prc_stirn_b_squished prc_wcx_b_squished fertile_narrow_squished fertile_broad_squished fertile_window_squished premenstrual_phase_squished prc_stirn_b_inferred_squished prc_wcx_b_inferred_squished fertile_narrow_inferred_squished fertile_broad_inferred_squished fertile_window_inferred_squished premenstrual_phase_inferred_squished prc_stirn_b_forward_counted prc_wcx_b_forward_counted fertile_narrow_forward_counted fertile_broad_forward_counted fertile_window_forward_counted premenstrual_phase_forward_counted prc_stirn_b_aware_luteal prc_wcx_b_aware_luteal fertile_narrow_aware_luteal fertile_broad_aware_luteal fertile_window_aware_luteal premenstrual_phase_aware_luteal prc_stirn_b_inferred prc_wcx_b_inferred fertile_narrow_inferred fertile_broad_inferred fertile_window_inferred premenstrual_phase_inferred fertile_fab premenstrual_phase_fab menstruation_imputed menstruation extra_pair_desire_and_behaviour extra_pair_interest in_pair_desire_and_behaviour in_pair_interest grooming_broad saw_partner last_saw_partner_date days_since_seeing_partner time_since_seeing_partner

Survey overview

61187 completed rows, 62043 who entered any information, 623 only viewed the first page. There are 1470 expired rows (people who did not finish filling out in the requested time frame). In total, there are 62666 rows including unfinished and expired rows.

There were 1373 unique participants, of which 1345 finished filling out at least one survey.

This survey was repeated many times, on average 45.64 times per user.

Number of sessions

The first session started on 2016-05-03 17:10:11, the last session on 2017-03-23 21:45:40.

Starting date times

People took on average 11.8 minutes (median 4) to answer the survey.

Duration people took for answering the survey

#Variables

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	1373	0	7	7	0	NA

created_date

Distribution

## 325  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
created_date	Date	0	1	325	2016-05-03	2016-10-11	2017-03-23	NA

browser

Distribution

Distribution of values for browser

1 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
browser		server	HTTP_USER_AGENT	character	1			1	1	1	1612	0	61	216	0

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
server	HTTP_USER_AGENT	browser		1			1

Value labels

Response choices

name	value

andere

Distribution

Distribution of values for andere

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
andere		calculate	character	0		ifelse(s1_demo$hetero_relationship, ‘andere’, ’ ’)	2	2	1	2	0	1	6	21120

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	andere		0		ifelse(s1_demo$hetero_relationship, ‘andere’, ’ ’)	2

Value labels

Response choices

name	value

andere_uc

Distribution

Distribution of values for andere_uc

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
andere_uc		calculate	character	0		ifelse(s1_demo$hetero_relationship, ‘Andere’, ’ ’)	3	2	1	2	0	1	6	21120

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	andere_uc		0		ifelse(s1_demo$hetero_relationship, ‘Andere’, ’ ’)	3

Value labels

Response choices

name	value

anderen

Distribution

Distribution of values for anderen

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
anderen		calculate	character	0		ifelse(s1_demo$hetero_relationship, ‘anderen’, ’ ’)	4	2	1	2	0	1	7	21120

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	anderen		0		ifelse(s1_demo$hetero_relationship, ‘anderen’, ’ ’)	4

Value labels

Response choices

name	value

anderer

Distribution

Distribution of values for anderer

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
anderer		calculate	character	0		ifelse(s1_demo$hetero_relationship, ‘anderer’, ’ ’)	5	2	1	2	0	1	7	21120

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	anderer		0		ifelse(s1_demo$hetero_relationship, ‘anderer’, ’ ’)	5

Value labels

Response choices

name	value

days_done

Distribution

Distribution of values for days_done

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
days_done		calculate	character	0		sum(!is.na(s3_daily$ended))	6	2	1	71	0	1	2	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	days_done		0		sum(!is.na(s3_daily$ended))	6

Value labels

Response choices

name	value

days_since_beginning

Distribution

Distribution of values for days_since_beginning

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
days_since_beginning		calculate	character	0		library(lubridate) as.numeric(Sys.Date() - as.Date( s1_demo$created ), units = ‘days’)	7	2	1	80	0	1	3	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	days_since_beginning		0		library(lubridate) as.numeric(Sys.Date() - as.Date( s1_demo$created ), units = ‘days’)	7

Value labels

Response choices

name	value

days_since_last_entry

Distribution

Distribution of values for days_since_last_entry

1411 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
days_since_last_entry		calculate	character	0		if(days_done > 0) { library(lubridate) round(as.numeric(now() - as.POSIXct( last(s3_daily$ended) ), units = ‘days’)) } else { NA }	8	1411	0.9775	38	0	1	2	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	days_since_last_entry		0		if(days_done > 0) { library(lubridate) round(as.numeric(now() - as.POSIXct( last(s3_daily$ended) ), units = ‘days’)) } else { NA }	8

Value labels

Response choices

name	value

never_skipped_more_than_2

Distribution

Distribution of values for never_skipped_more_than_2

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
never_skipped_more_than_2		calculate	character	0		ifelsena(sum(floor(as.numeric(diff(as.POSIXct(na.omit(s3_daily$ended))), units = ‘days’)) > 2) > 1, 0, 1)	9	2	1	2	0	1	1	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	never_skipped_more_than_2		0		ifelsena(sum(floor(as.numeric(diff(as.POSIXct(na.omit(s3_daily$ended))), units = ‘days’)) > 2) > 1, 0, 1)	9

Value labels

Response choices

name	value

money_earned

Distribution

Distribution of values for money_earned

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
money_earned		calculate	character	0		5 + days_done * 0.5 + 0.5 + ifelse(never_skipped_more_than_2, 5, 0)	10	2	1	80	0	1	4	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	money_earned		0		5 + days_done * 0.5 + 0.5 + ifelse(never_skipped_more_than_2, 5, 0)	10

Value labels

Response choices

name	value

refer_time_period

Distribution

Distribution of values for refer_time_period

2 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
refer_time_period		calculate	character	0		if(is.na(days_since_last_entry) | days_since_last_entry > 1) { “in den letzten 24 Stunden” } else { “seit meinem letzten Eintrag” }	11	2	1	2	0	25	27	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	refer_time_period		0		if(is.na(days_since_last_entry) | days_since_last_entry > 1) { “in den letzten 24 Stunden” } else { “seit meinem letzten Eintrag” }	11

Value labels

Response choices

name	value

good_mood

My mood was good.

Distribution

Distribution of values for good_mood

13170 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
good_mood	My mood was good.	haven_labelled	13170	0.7898	0	2	4	2.185	1.027	5	▁▃▁▇▁▆▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

self_esteem

I was satisfied with myself.

Distribution

Distribution of values for self_esteem

13171 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
self_esteem	I was satisfied with myself.	haven_labelled	13171	0.7898	0	2	4	2.105	0.9722	5	▁▃▁▇▁▅▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

relationship_satisfaction

I was happy with my relationship.

Distribution

Distribution of values for relationship_satisfaction

29815 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
relationship_satisfaction	I was happy with my relationship.	haven_labelled	29815	0.5242	0	2	4	2.273	1.035	5	▁▂▁▇▁▅▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

stressed

I was stressed out.

Distribution

Distribution of values for stressed

37916 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
stressed	I was stressed out.	haven_labelled	37916	0.395	0	2	4	1.814	1.18	5	▅▇▁▇▁▆▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

irritable

I was easily irritated.

Distribution

Distribution of values for irritable

37800 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
irritable	I was easily irritated.	haven_labelled	37800	0.3968	0	2	4	1.612	1.117	5	▅▇▁▇▁▅▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

loneliness

I felt lonely.

Distribution

Distribution of values for loneliness

37973 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
loneliness	I felt lonely.	haven_labelled	37973	0.394	0	1	4	1.402	1.142	5	▇▇▁▇▁▃▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

risk_taking

I was prepared to take risks.

Distribution

Distribution of values for risk_taking

50337 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
risk_taking	I was prepared to take risks.	haven_labelled	50337	0.1967	0	2	4	1.801	0.952	5	▂▃▁▇▁▂▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

illness_pain

I felt ill/was in pain.

Distribution

Distribution of values for illness_pain

844 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
illness_pain	I felt ill/was in pain.	haven_labelled	844	0.9865	0	0	4	0.6465	1.04	5	▇▂▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

illness_pain_specific

This is what I had: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for illness_pain_specific

40857 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
illness_pain_specific	This is what I had: <small>(multiple answers are possible)</small>	haven_labelled	40857	0.348	109	162	0	NA	84	0	8

Value labels

Response choices

name	value
1	headache
2	migraine
3	bladder_infection
4	cold
5	flu
6	gastrointestinal
7	back_pain
8	other

illness_pain_other

other:

Distribution

Distribution of values for illness_pain_other

54868 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
illness_pain_other	other:	text	character	0	illness_pain_specific %contains%“other”		25	54868	0.1244	2316	0	1	221	9

Item

Item options

type	name	label	optional	showif	value	item_order
text	illness_pain_other	andere:	0	illness_pain_specific %contains%“other”		25

Value labels

Response choices

name	value

partner_illness_pain

My partner felt ill/was in pain.

Distribution

Distribution of values for partner_illness_pain

21658 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
partner_illness_pain	My partner felt ill/was in pain.	haven_labelled	21658	0.6544	0	0	4	0.2886	0.7603	5	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

partner_illness_pain_specific

This is what he had: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for partner_illness_pain_specific

56214 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
partner_illness_pain_specific	This is what he had: <small>(multiple answers are possible)</small>	haven_labelled	56214	0.103	56	83	0	NA	47	0	8

Value labels

Response choices

name	value
1	headache
2	migraine
3	bladder_infection
4	cold
5	flu
6	gastrointestinal
7	back_pain
8	other

partner_illness_pain_other

other:

Distribution

Distribution of values for partner_illness_pain_other

60881 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
partner_illness_pain_other	other:	text	character	0	partner_illness_pain_specific %contains% “other”		28	60881	0.0285	580	0	1	113	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	partner_illness_pain_other	andere:	0	partner_illness_pain_specific %contains% “other”		28

Value labels

Response choices

name	value

following_usual_routine

I followed my daily routine.

Distribution

Distribution of values for following_usual_routine

1064 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
following_usual_routine	I followed my daily routine.	haven_labelled	1064	0.983	0	1	1	0.788	0.4088	2	▂▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1

everyday_specify

This was different than usual:

Distribution

Distribution of values for everyday_specify

49604 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
everyday_specify	This was different than usual:	textarea	character	0	following_usual_routine == 0		32	49604	0.2084	7801	0	1	740	11

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	everyday_specify	Das war anders als sonst:	0	following_usual_routine == 0		32

Value labels

Response choices

name	value

travel

I travelled.

Distribution

Distribution of values for travel

49604 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
travel	I travelled.	haven_labelled	49604	0.2084	0	0	1	0.3656	0.4816	2	▇▁▁▁▁▁▁▅

Value labels

Response choices

name	value
No	0
Yes	1

travel_how

This is what my journey was like: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for travel_how

57881 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
travel_how	This is what my journey was like: <small>(multiple answers are possible)</small>	haven_labelled	57881	0.0764	120	0	5	NA	56	0	8

Value labels

Response choices

name	value
1	alone
2	with_family
3	with_friends
4	with_partner
5	job_related
6	vacation
7	visit
8	old_home

sleep_amount

This is how much I slept last night:

Distribution

Distribution of values for sleep_amount

31897 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sleep_amount	This is how much I slept last night:	haven_labelled	31897	0.491	0	2	4	1.884	1.051	5	▂▅▁▇▁▃▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

sleep_quality

I had a good nights sleep yesterday.

Distribution

Distribution of values for sleep_quality

31945 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sleep_quality	I had a good nights sleep yesterday.	haven_labelled	31945	0.4902	0	2	4	2.24	1.209	5	▃▆▁▇▁▇▁▅

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

sleep_fell_asleep_time

I fell asleep at the following time last night… <small>e.g. 23:30</small>

Distribution

Distribution of values for sleep_fell_asleep_time

31917 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sleep_fell_asleep_time	I fell asleep at the following time last night… <small>e.g. 23:30</small>	numeric	31917	0.4907	0	10800	86340	36012	37866	▇▁▁▁▆

sleep_awoke_time

I woke up at the following time this morning… <small>e.g. 08:15</small>

Distribution

Distribution of values for sleep_awoke_time

31917 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
sleep_awoke_time	I woke up at the following time this morning… <small>e.g. 08:15</small>	numeric	31917	0.4907	0	28800	86340	30027	7078	▁▇▂▁▁

time_friends

I spent time with friends.

Distribution

Distribution of values for time_friends

19369 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
time_friends	I spent time with friends.	haven_labelled	19369	0.6909	0	2	4	1.745	1.31	5	▇▆▁▇▁▆▁▃

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

time_work_uni

I spent time working/studying.

Distribution

Distribution of values for time_work_uni

19711 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
time_work_uni	I spent time working/studying.	haven_labelled	19711	0.6855	0	2	4	1.832	1.464	5	▇▃▁▆▁▆▁▅

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

time_sports

I worked out.

Distribution

Distribution of values for time_sports

19649 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
time_sports	I worked out.	haven_labelled	19649	0.6864	0	0	4	0.871	1.17	5	▇▂▁▂▁▂▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

time_people

I looked for contact with other people.

Distribution

Distribution of values for time_people

19450 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
time_people	I looked for contact with other people.	haven_labelled	19450	0.6896	0	2	4	2.118	1.097	5	▂▃▁▇▁▆▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

time_family

I looked for contact with my family.

Distribution

Distribution of values for time_family

19540 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
time_family	I looked for contact with my family.	haven_labelled	19540	0.6882	0	2	4	1.761	1.212	5	▅▆▁▇▁▅▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

food_amount

This is the amount I ate:

Distribution

Distribution of values for food_amount

19561 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
food_amount	This is the amount I ate:	haven_labelled	19561	0.6879	0	2	4	1.964	0.9088	5	▁▃▁▇▁▃▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

meat

I ate meat.

Distribution

Distribution of values for meat

29933 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
meat	I ate meat.	haven_labelled	29933	0.5223	0	1	4	1.161	1.1	5	▇▅▁▆▁▂▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

alcohol

I drank alcohol.

Distribution

Distribution of values for alcohol

19466 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
alcohol	I drank alcohol.	haven_labelled	19466	0.6894	0	0	4	0.5833	1.023	5	▇▂▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

smoking

I smoked.

Distribution

Distribution of values for smoking

19705 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
smoking	I smoked.	haven_labelled	19705	0.6856	0	0	4	0.3736	0.8785	5	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

grooming_time_spent

This many minutes I invested in preparing to go out:

Distribution

Distribution of values for grooming_time_spent

44111 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	hist
grooming_time_spent	This many minutes I invested in preparing to go out:	number	0,240	numeric	0	runif(1) < 0.3		42	right100 left500	44111	0.2961	0	15	240	18.49	16.96	▇▁▁▁▁

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
number	0,240	grooming_time_spent	So viele Minuten habe ich insgesamt investiert, um mich ausgehfertig zu machen:	0	right100 left500	runif(1) < 0.3		42

Value labels

Response choices

name	value

grooming_activities

Today I… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for grooming_activities

44314 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
grooming_activities	Today I… <small>(multiple answers are possible)</small>	haven_labelled	44314	0.2929	32	5626	0	NA	76	0	5

Value labels

Response choices

name	value
1	shaved_legs
2	shaved_armpits
3	shaved_bikini_zone
4	plucked_eyebrows
5	made_hair

skin

My skin was… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for skin

44121 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
skin	My skin was… <small>(multiple answers are possible)</small>	haven_labelled	44121	0.2959	69	0	5	NA	59	0	7

Value labels

Response choices

name	value
1	super
2	as_always
3	fattier
4	drier
5	more_pimples
6	wrinklier
7	more_sensitive

hair

My hair was… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for hair

44253 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
hair	My hair was… <small>(multiple answers are possible)</small>	haven_labelled	44253	0.2938	70	0	5	NA	78	0	7

Value labels

Response choices

name	value
1	super
2	as_always
3	fattier
4	drier
5	freshly_washed
6	freshly_coloured
7	untameable

social_life_active

I was socially active.

Distribution

Distribution of values for social_life_active

41939 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
social_life_active	I was socially active.	haven_labelled	41939	0.3308	5	0	6	NA	24	0	5

Value labels

Response choices

name	value
1	was_alone
2	barely
3	job_uni_related
4	met_one_purposefully
5	met_several_purposefully

social_life_saw_people

I had social contact with these people over a longer period of time (over an hour).

Distribution

Distribution of values for social_life_saw_people

46874 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
social_life_saw_people	I had social contact with these people over a longer period of time (over an hour).	haven_labelled	46874	0.252	9466	0	1	NA	179	1	1

Value labels

Response choices

name	value
1	1

social_life_thought_about

I thought about these people and would have liked to have seen them.

Distribution

Distribution of values for social_life_thought_about

53258 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
social_life_thought_about	I thought about these people and would have liked to have seen them.	haven_labelled	53258	0.1501	3075	0	1	NA	113	0	1

Value labels

Response choices

name	value
1	1

social_life_free

These are the social activities I did: <small>optional</small>

Distribution

Distribution of values for social_life_free

56399 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
social_life_free	These are the social activities I did: <small>optional</small>	textarea	character	1	! s1_demo$hetero_relationship		56	56399	0.1	5371	0	1	1682	9

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	social_life_free	Das habe ich sozial unternommen: <small>optional</small>	1	! s1_demo$hetero_relationship		56

Value labels

Response choices

name	value

relationship_change

Something important has changend in my relationship: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for relationship_change

21862 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
relationship_change	Something important has changend in my relationship: <small>(multiple answers are possible)</small>	haven_labelled	21862	0.6511	18	2	0	NA	7	0	5

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4
5	5

relationship_change_specify

I would like to add the following:

Distribution

Distribution of values for relationship_change_specify

61815 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
relationship_change_specify	I would like to add the following:	textarea	character	1	relationship_change != 1 & relationship_change != ""		60	61815	0.0136	750	0	1	725	2

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	relationship_change_specify	Folgendes möchte ich dazu noch sagen:	1	relationship_change != 1 & relationship_change != ""		60

Value labels

Response choices

name	value

night_spent_with_partner

I spent last night with my partner.

Distribution

Distribution of values for night_spent_with_partner

21862 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
night_spent_with_partner	I spent last night with my partner.	haven_labelled	21862	0.6511	0	1	1	0.5386	0.4985	2	▇▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1

contact_partner

I spent r refer_time_period…

Distribution

Distribution of values for contact_partner

21862 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
contact_partner	I spent r refer_time_period…	haven_labelled	21862	0.6511	1	3	7	3.536	1.743	7	▅▃▇▃▁▆▃▂

Value labels

Response choices

name	value
… almost all the time with my partner.	1
…alot of time with my partner.	2
…a few hours with my partner.	3
…only a short moment with my partner	4
…no time with my partner, but I communicated with him/her multiple times.	5
…no time with my partner, but I comunicated with him/her once.	6
…no time with my partner, neither did I communicated with him/her.	7

saw_partner_last

Before today I last saw my partner:

Distribution

Distribution of values for saw_partner_last

57182 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
saw_partner_last	Before today I last saw my partner:	haven_labelled	57182	0.0875	1	1	8	2.3	2.302	8	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
yesterday	1
the day before yesterday	2
three days ago	3
four days ago	4
five days ago	5
six days ago	6
a week or two ago	7
more than two weeks ago	8

love_showed_to_partner

I showed my partner that I love him/her.

Distribution

Distribution of values for love_showed_to_partner

50438 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
love_showed_to_partner	I showed my partner that I love him/her.	haven_labelled	50438	0.1951	0	2	4	2.163	1.065	5	▂▂▁▇▁▆▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

love_shown_by_partner

My partner showed my that I am loved.

Distribution

Distribution of values for love_shown_by_partner

50478 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
love_shown_by_partner	My partner showed my that I am loved.	haven_labelled	50478	0.1945	0	2	4	2.249	1.071	5	▂▂▁▇▁▆▁▂

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

conflict_partner

I got into a fight with my partner.

Distribution

Distribution of values for conflict_partner

50406 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
conflict_partner	I got into a fight with my partner.	haven_labelled	50406	0.1956	0	0	4	0.522	0.9706	5	▇▂▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

desirability

I felt sexually desireble.

Distribution

Distribution of values for desirability

42294 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
desirability	I felt sexually desireble.	haven_labelled	42294	0.3251	0	2	4	1.742	1.084	5	▃▅▁▇▁▃▁▁

Value labels

Response choices

name	value
0: less than usual	0
1	1
2	2
3	3
4: more than usual	4

high_libido

I had a great <abbr title= “desire to have sex/masturbate/become sexually active”>Libido</abbr>.

Distribution

Distribution of values for high_libido

1301 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
high_libido	I had a great <abbr title= “desire to have sex/masturbate/become sexually active”>Libido</abbr>.	haven_labelled	1301	0.9792	0	1	4	1.143	1.219	5	▇▃▁▃▁▂▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

is_single

Distribution

Distribution of values for is_single

1301 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
is_single		hidden	character	1		1 - s1_demo$hetero_relationship	73	1301	0.9792	2	0	1	1	0

Item

Item options

type	name	label	optional	showif	value	item_order
hidden	is_single		1		1 - s1_demo$hetero_relationship	73

Value labels

Response choices

name	value

sexual_desire_for_whom

I had the desire to become sexually active with the following person: <small>(multpile answers are possible)</small>

Distribution

Distribution of values for sexual_desire_for_whom

52664 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sexual_desire_for_whom	I had the desire to become sexually active with the following person: <small>(multpile answers are possible)</small>	haven_labelled	52664	0.1596	48	0	1	NA	16	0	6

Value labels

Response choices

name	value
1	1
2	2
3	3
4	4
5	5
6	6

sexual_initiation_self

I initiated sexual actions with my partner.

Distribution

Distribution of values for sexual_initiation_self

50558 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_initiation_self	I initiated sexual actions with my partner.	haven_labelled	50558	0.1932	0	0	4	0.7762	1.319	5	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

sexual_initiation_partner

My partner initiated sexual actions with me.

Distribution

Distribution of values for sexual_initiation_partner

50558 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_initiation_partner	My partner initiated sexual actions with me.	haven_labelled	50558	0.1932	0	0	4	0.9822	1.452	5	▇▁▁▁▁▁▁▂

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

in_pair_went_out

Ich bin gemeinsam mit meinem Partner ausgegangen <small>(Party, Kneipe, Freunde treffen, …).</small>

Distribution

Distribution of values for in_pair_went_out

50523 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
mc_button		in_pair_went_out	Ich bin gemeinsam mit meinem Partner ausgegangen <small>(Party, Kneipe, Freunde treffen, …).</small>	0	right100 left500	s1_demo$hetero_relationship & runif(1) < 0.3		77

Value labels

Response choices

name	value
Nein	0
Ja	1

extra_pair_went_out

Ich bin r ifelse(s1_demo$hetero_relationship, '__ohne__ meinen Partner', '') ausgegangen <small>(Party, Kneipe, Freunde treffen, …).</small>

Distribution

Distribution of values for extra_pair_went_out

44162 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
mc_button		extra_pair_went_out	Ich bin r ifelse(s1_demo$hetero_relationship, '__ohne__ meinen Partner', '') ausgegangen <small>(Party, Kneipe, Freunde treffen, …).</small>	0	right100 left500	runif(1) < 0.3		77

Value labels

Response choices

name	value
Nein	0
Ja	1

sexual_desire_wants_desire

I wanted to be desired.

Distribution

Distribution of values for sexual_desire_wants_desire

44197 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_desire_wants_desire	I wanted to be desired.	haven_labelled	44197	0.2947	0	2	4	2.015	1.382	5	▆▅▁▇▁▇▁▆

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

sexual_desire_fulfill_sex_needs

I wanted to satisfy my sexual needs.

Distribution

Distribution of values for sexual_desire_fulfill_sex_needs

44136 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_desire_fulfill_sex_needs	I wanted to satisfy my sexual needs.	haven_labelled	44136	0.2957	0	1	4	1.342	1.394	5	▇▃▁▃▁▂▁▂

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

sexual_desire_fulfill_partner

I wanted my partner to feel loved/desirable.

Distribution

Distribution of values for sexual_desire_fulfill_partner

50434 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sexual_desire_fulfill_partner	I wanted my partner to feel loved/desirable.	haven_labelled	50434	0.1952	0	3	4	2.523	1.2	5	▂▂▁▇▁▇▁▇

Value labels

Response choices

name	value
0: not right	0
1	1
2	2
3	3
4: exactly right	4

sexual_desire_for_activity

I felt like the following kind of sexual activity: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sexual_desire_for_activity

27802 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sexual_desire_for_activity	I felt like the following kind of sexual activity: <small>(multiple answers are possible)</small>	haven_labelled	27802	0.5563	2617	0	1	NA	428	0	14

Value labels

Response choices

name	value
1	kissing
2	cuddling
3	phone_skype_sex
4	sex
5	masturbation
6	masturbated_by_partner
7	masturbated_partner
8	fellatio
9	cunnilingus
10	anal_sex
11	toys
12	bdsm_sub
13	bdsm_dom
14	nothing_particular

last_had_sex

Before today I last had sex with my partner:

Distribution

Distribution of values for last_had_sex

58769 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
mc		last_had_sex	Ich hatte vor heute zuletzt mit meinem Partner Sex:	0	mc_vertical	days_since_last_entry > 1 & saw_partner_last < days_since_last_entry		112

Value labels

Response choices

name	value
gestern	1
vorgestern	2
vor drei Tagen	3
vor 4 Tagen	4
vor 5 Tagen	5
vor 6 Tagen	6
vor ein bis zwei Wochen	7
vor mehr als zwei Wochen	8

sex_active

I was r refer_time_period sexually active (also masturbation, tenderness)…

Distribution

Distribution of values for sex_active

1301 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_active	I was r refer_time_period sexually active (also masturbation, tenderness)…	haven_labelled	1301	0.9792	0	0	1	0.3088	0.462	2	▇▁▁▁▁▁▁▃

Value labels

Response choices

name	value
No	0
Yes	1

no_sex_reason

I wasn’t sexually active because… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for no_sex_reason

20252 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
no_sex_reason	I wasn’t sexually active because… <small>(multiple answers are possible)</small>	haven_labelled	20252	0.6768	1486	0	4	NA	176	0	16

Value labels

Response choices

name	value
1	just_didnt_happen
2	no_desire
3	no_time
4	had_no_partner
5	didnt_see_partner
6	partner_didnt_want_to
7	partner_couldnt
8	no_privacy
9	no_contraception
10	tired
11	felt_gross
12	felt_unattractive
13	had_pain
14	sick
15	bladder_yeast_infection
16	menstruation

sex_acts

How often?

Distribution

Distribution of values for sex_acts

43716 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	hist
sex_acts	How often?	number	1,any,1	numeric	0	sex_active == 1		115	right100 left500	43716	0.3024	1	1	50	1.397	0.9558	▇▁▁▁▁

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
number	1,any,1	sex_acts	Wie oft?	0	right100 left500	sex_active == 1		115

Value labels

Response choices

name	value

sex_1_time

When?

Distribution

Distribution of values for sex_1_time

43716 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_time	When?	haven_labelled	43716	0.3024	7	0	10	NA	24	0	7

Value labels

Response choices

name	value
1	t0_yesterday_evening
2	t1_before_falling_asleep
3	t2_night_time
4	t3_after_waking_up
5	t4_morning
6	t5_during_day
7	t6_evening

sex_1_withwhom

With whom? <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_1_withwhom

43717 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_withwhom	With whom? <small>(multiple answers are possible)</small>	haven_labelled	43717	0.3024	106	0	1	NA	63	0	5

Value labels

Response choices

name	value
1	solo
2	with_partner
3	with_partner_tele
4	other_female
5	other_male

sex_1_activity

The sexual activity/activities involved: <small>(multiple answers are possbible)</small>

Distribution

Distribution of values for sex_1_activity

43717 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_activity	The sexual activity/activities involved: <small>(multiple answers are possbible)</small>	haven_labelled	43717	0.3024	1501	0	2	NA	389	0	13

Value labels

Response choices

name	value
1	kissing
2	cuddling
3	phone_skype_sex
4	sex
5	masturbation
6	masturbated_by_partner
7	masturbated_partner
8	fellatio
9	cunnilingus
10	anal_sex
11	toys
12	bdsm_sub
13	bdsm_dom

sex_1_contraception

I used the following contraception: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_1_contraception

51110 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_contraception	I used the following contraception: <small>(multiple answers are possible)</small>	haven_labelled	51110	0.1844	65	0	6	NA	57	0	9

Value labels

Response choices

name	value
1	long_term
2	condom
3	coitus_interruptus
4	diaphragm
5	spermicide
6	counted_days
7	not_necessary
8	did_not_want
9	risked_it

sex_1_happy

The sexual act made me happy.

Distribution

Distribution of values for sex_1_happy

43717 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_1_happy	The sexual act made me happy.	haven_labelled	43717	0.3024	0	3	4	2.72	1.031	5	▁▂▁▇▁▇▁▆

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_1_enjoyed

I was sexually satisfied.

Distribution

Distribution of values for sex_1_enjoyed

43717 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_1_enjoyed	I was sexually satisfied.	haven_labelled	43717	0.3024	0	3	4	2.525	1.197	5	▂▃▁▆▁▇▁▆

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_1_partner_enjoyed

My partner was sexually satisfied.

Distribution

Distribution of values for sex_1_partner_enjoyed

53082 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_1_partner_enjoyed	My partner was sexually satisfied.	haven_labelled	53082	0.1529	0	3	4	3.025	1.236	5	▁▁▁▂▁▃▁▇

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_1_fantasy_partner

During the sexual act I thought of… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_1_fantasy_partner

55273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_fantasy_partner	During the sexual act I thought of… <small>(multiple answers are possible)</small>	haven_labelled	55273	0.118	134	0	7	NA	114	0	9

Value labels

Response choices

name	value
1	partner
2	another_woman_known
3	another_man_known
4	another_woman_media
5	another_man_media
6	man_pornography
7	woman_pornography
8	nobody_in_particular
9	not_concrete

sex_1_fantasy_actions

I was thinking of following actions… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_1_fantasy_actions

55273 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_1_fantasy_actions	I was thinking of following actions… <small>(multiple answers are possible)</small>	haven_labelled	55273	0.118	766	0	1	NA	374	0	14

Value labels

Response choices

name	value
1	kissing
2	cuddling
3	phone_skype_sex
4	sex
5	masturbation
6	masturbated_by_partner
7	masturbated_partner
8	fellatio
9	cunnilingus
10	anal_sex
11	toys
12	bdsm_sub
13	bdsm_dom
14	nothing_particular

sex_2_time

When?

Distribution

Distribution of values for sex_2_time

57491 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_time	When?	haven_labelled	57491	0.0826	7	0	10	NA	24	0	7

Value labels

Response choices

name	value
1	t0_yesterday_evening
2	t1_before_falling_asleep
3	t2_night_time
4	t3_after_waking_up
5	t4_morning
6	t5_during_day
7	t6_evening

sex_2_withwhom

With whom? <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_2_withwhom

57491 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_withwhom	With whom? <small>(multiple answers are possible)</small>	haven_labelled	57491	0.0826	50	0	1	NA	47	1	5

Value labels

Response choices

name	value
1	solo
2	with_partner
3	with_partner_tele
4	other_female
5	other_male

sex_2_activity

The sexual activity/activities involved: <small>(multiple answers are possbible)</small>

Distribution

Distribution of values for sex_2_activity

57491 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_activity	The sexual activity/activities involved: <small>(multiple answers are possbible)</small>	haven_labelled	57491	0.0826	714	0	4	NA	389	0	13

Value labels

Response choices

name	value
1	kissing
2	cuddling
3	phone_skype_sex
4	sex
5	masturbation
6	masturbated_by_partner
7	masturbated_partner
8	fellatio
9	cunnilingus
10	anal_sex
11	toys
12	bdsm_sub
13	bdsm_dom

sex_2_contraception

I used the following contraception: <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_2_contraception

58993 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_contraception	I used the following contraception: <small>(multiple answers are possible)</small>	haven_labelled	58993	0.0586	43	0	6	NA	61	0	9

Value labels

Response choices

name	value
1	long_term
2	condom
3	coitus_interruptus
4	diaphragm
5	spermicide
6	counted_days
7	not_necessary
8	did_not_want
9	risked_it

sex_2_happy

The sexual act made me happy.

Distribution

Distribution of values for sex_2_happy

57491 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_2_happy	The sexual act made me happy.	haven_labelled	57491	0.0826	0	3	4	2.99	0.9919	5	▁▁▁▅▁▇▁▇

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_2_enjoyed

I was sexually satisfied.

Distribution

Distribution of values for sex_2_enjoyed

57491 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_2_enjoyed	I was sexually satisfied.	haven_labelled	57491	0.0826	0	3	4	2.701	1.202	5	▂▂▁▆▁▇▁▇

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_2_partner_enjoyed

My partner was sexually satisfied.

Distribution

Distribution of values for sex_2_partner_enjoyed

59801 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
sex_2_partner_enjoyed	My partner was sexually satisfied.	haven_labelled	59801	0.0457	0	4	4	3.013	1.258	5	▁▁▁▂▁▃▁▇

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

sex_2_fantasy_partner

During the sexual act I thought of… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_2_fantasy_partner

61164 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_fantasy_partner	During the sexual act I thought of… <small>(multiple answers are possible)</small>	haven_labelled	61164	0.024	72	0	7	NA	95	0	9

Value labels

Response choices

name	value
1	partner
2	another_woman_known
3	another_man_known
4	another_woman_media
5	another_man_media
6	man_pornography
7	woman_pornography
8	nobody_in_particular
9	not_concrete

sex_2_fantasy_actions

I was thinking of following actions… <small>(multiple answers are possible)</small>

Distribution

Distribution of values for sex_2_fantasy_actions

61164 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
sex_2_fantasy_actions	I was thinking of following actions… <small>(multiple answers are possible)</small>	haven_labelled	61164	0.024	239	0	1	NA	367	0	14

Value labels

Response choices

name	value
1	kissing
2	cuddling
3	phone_skype_sex
4	sex
5	masturbation
6	masturbated_by_partner
7	masturbated_partner
8	fellatio
9	cunnilingus
10	anal_sex
11	toys
12	bdsm_sub
13	bdsm_dom
14	nothing_particular

menstrual_pain

I had <abbr title=" also premenstrual">menstruation related</abbr> pains.

Distribution

Distribution of values for menstrual_pain

11236 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstrual_pain	I had <abbr title=" also premenstrual">menstruation related</abbr> pains.	haven_labelled	11236	0.8207	0	0	4	0.2338	0.7067	5	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
0: not at all	0
1	1
2	2
3	3
4: very much	4

special_events_love_life

There were notable events concerning my love life:

Distribution

Distribution of values for special_events_love_life

60451 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
special_events_love_life	There were notable events concerning my love life:	textarea	character	1			138	60451	0.0353	2012	0	1	2601	8

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	special_events_love_life	Es gab besondere nennenswerte Ereignisse hinsichtlich meines Liebeslebens:	1			138

Value labels

Response choices

name	value

menstruation_since_last_entry

I had menstrual bleedings r ifelse(days_since_last_entry > 3, "since my last diary entry", "in the last three days"). <small>(period, not intermenstrual bleeding)</small>

Distribution

Distribution of values for menstruation_since_last_entry

44669 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstruation_since_last_entry	I had menstrual bleedings r ifelse(days_since_last_entry &gt; 3, "since my last diary entry", "in the last three days"). <small>(period, not intermenstrual bleeding)</small>	haven_labelled	44669	0.2872	0	0	1	0.2305	0.4212	2	▇▁▁▁▁▁▁▂

Value labels

Response choices

name	value
No	0
Yes	1

menstruation_today

I had menstrual bleedings today.

Distribution

Distribution of values for menstruation_today

44669 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
menstruation_today	I had menstrual bleedings today.	numeric	44669	0.2872	0	0	1	0.1686	0.3744	▇▁▁▁▂

menstrual_onset

Today was the first day of my period…

Distribution

Distribution of values for menstrual_onset

58517 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
menstrual_onset	Today was the first day of my period…	haven_labelled	58517	0.0662	1	4	8	4.245	2.183	8	▇▇▇▇▇▇▇▅

Value labels

Response choices

name	value
ja	1
no (yesterday)	2
no (the day before yesterday)	3
no (three days ago)	4
no (four days ago)	5
no (five days ago)	6
no (6 days ago)	7
no (start dates back even longer)	8

menstrual_onset_date

Date of the first menstrual bleeding

Distribution

## 166  unique, categorical values, so not shown.

62343 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
menstrual_onset_date	Date of the first menstrual bleeding	date	-2months,-6days	Date	0	menstrual_onset == 8		143	right100 left500	62343	0.0052	166	2016-05-04	2016-10-02	2017-02-11

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-2months,-6days	menstrual_onset_date	Datum der ersten menstruellen Blutung	0	right100 left500	menstrual_onset == 8		143

Value labels

Response choices

name	value

spotting

I had an intermenstrual bleeding today.

Distribution

## No non-missing values to show.

62666 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	n_value_labels	hist
spotting	I had an intermenstrual bleeding today.	haven_labelled	62666	0	Inf	NA	-Inf	2

Value labels

Response choices

name	value
No	0
Yes	1

answered_honestly_today

I answered everything honestly and didn’t click onto answers randomly. <small> Being honest doesn’t created a disadvantage for you (viz. we won’t subtract it from your credit), but it allows us to exclude invalid data from our research.</small>

Distribution

Distribution of values for answered_honestly_today

1477 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
answered_honestly_today	I answered everything honestly and didn’t click onto answers randomly. <small> Being honest doesn’t created a disadvantage for you (viz. we won’t subtract it from your credit), but it allows us to exclude invalid data from our research.</small>	haven_labelled	1477	0.9764	0	1	1	0.9975	0.0498	2	▁▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1

dishonest_answers

Would you like to tell us whether you answered all questions wrong (e.g. just clicked through all the questions randomly) or only a few (e.g. for privacy reasons)?<small>optional</small>

Distribution

Distribution of values for dishonest_answers

62582 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
dishonest_answers	Would you like to tell us whether you answered all questions wrong (e.g. just clicked through all the questions randomly) or only a few (e.g. for privacy reasons)?<small>optional</small>	textarea	character	1	answered_honestly_today == 0		147	62582	0.0013	73	0	4	484	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	dishonest_answers	Wollen Sie uns genauer sagen, ob Sie alle Fragen falsch beantwortet haben (bspw. zufällig durchgeklickt) oder nur manche (bspw. zur Wahrung Ihrer Intimsphäre)? <small>optional</small>	1	answered_honestly_today == 0		147

Value labels

Response choices

name	value

notes_to_us

I want to let the study team know the following: <small>optional</small>

Distribution

Distribution of values for notes_to_us

61321 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
notes_to_us	I want to let the study team know the following: <small>optional</small>	textarea	character	1			148	61321	0.0215	1313	0	1	1950	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	notes_to_us	Ich möchte dem Studienteam folgendes mitteilen: <small>optional</small>	1			148

Value labels

Response choices

name	value

Scale: grooming

Overview

Reliability: See details tab.

Missing: 31199.

Likert plot of scale grooming items

Distribution of scale grooming

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  2 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.82 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.87 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.09    0.08
Time             0.00    0.00
Items            0.02    0.02
ID x time        0.00    0.00
ID x items       0.85    0.71
time x items     0.00    0.00
Residual         0.23    0.19
Total            1.19    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id          0.099   0.083
id(time)    0.835   0.700
residual    0.259   0.217
total       1.193   1.000

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
grooming_1	I was styled.	haven_labelled	0: less than usual, 1. 1, 2. 2, 3. 3, 4. 4: more than usual	44262	0.2937	0	2	4	1.522	1.067	5	▅▅▁▇▁▂▁▁
grooming_2	I made an effort with my outfit (clothes, Make-Up,…).	haven_labelled	0: less than usual, 1. 1, 2. 2, 3. 3, 4. 4: more than usual	43919	0.2992	0	2	4	1.740	1.105	5	▃▅▁▇▁▃▁▁

Scale: vanity

Overview

Reliability: See details tab.

Missing: 22002.

Likert plot of scale vanity items

Distribution of scale vanity

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  3 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.79 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.84 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.15    0.17
Time             0.00    0.00
Items            0.01    0.01
ID x time        0.00    0.00
ID x items       0.48    0.55
time x items     0.00    0.00
Residual         0.24    0.27
Total            0.89    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.16    0.17
id(time)     0.48    0.53
residual     0.27    0.30
total        0.90    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
vanity_1	I was happy with the way I looked.	haven_labelled	0: less than usual, 1. 1, 2. 2, 3. 3, 4. 4: more than usual	43996	0.2979	0	2	4	1.960	0.9301	5	▁▃▁▇▁▃▁▁
vanity_2	I liked looking at myself in the mirror.	haven_labelled	0: less than usual, 1. 1, 2. 2, 3. 3, 4. 4: more than usual	44243	0.2940	0	2	4	1.850	0.9630	5	▂▃▁▇▁▃▁▁
vanity_3	I liked looking at my body.	haven_labelled	0: less than usual, 1. 1, 2. 2, 3. 3, 4. 4: more than usual	44235	0.2941	0	2	4	1.788	0.9425	5	▂▃▁▇▁▂▁▁

Scale: mate_retention

Overview

Reliability: See details tab.

Missing: 35804.

Likert plot of scale mate_retention items

Distribution of scale mate_retention

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  3 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.62 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.08 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.28 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.17    0.17
Time             0.00    0.00
Items            0.21    0.21
ID x time        0.01    0.01
ID x items       0.20    0.20
time x items     0.00    0.00
Residual         0.40    0.40
Total            1.00    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id          0.226   0.209
id(time)    0.099   0.091
residual    0.754   0.699
total       1.078   1.000

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
mate_retention1	My partner was clingy.	haven_labelled	0: not at all, 1. 1, 2. 2, 3. 3, 4. 4: very much	50253	0.1981	0	1	4	1.1994	1.2013	5	▇▃▁▅▁▂▁▁
mate_retention2	My partner was jealous.	haven_labelled	0: not at all, 1. 1, 2. 2, 3. 3, 4. 4: very much	50434	0.1952	0	0	4	0.3143	0.7408	5	▇▁▁▁▁▁▁▁
mate_retention3	My partner was possessive.	haven_labelled	0: not at all, 1. 1, 2. 2, 3. 3, 4. 4: very much	50450	0.1949	0	0	4	0.5014	0.8825	5	▇▂▁▁▁▁▁▁

Scale: in_pair_desire

Overview

Reliability: See details tab.

Missing: 26693.

Likert plot of scale in_pair_desire items

Distribution of scale in_pair_desire

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  6 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.83 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.01 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.79 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.46    0.23
Time             0.02    0.01
Items            0.27    0.14
ID x time        0.00    0.00
ID x items       0.64    0.32
time x items     0.02    0.01
Residual         0.56    0.28
Total            1.97    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.48    0.23
id(time)     0.60    0.29
residual     0.97    0.47
total        2.05    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
in_pair_desire_7	I felt attracted towards my partner.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50462	0.1947	0	3	4	2.580	1.246	5	▂▂▁▇▁▇▁▇
in_pair_desire_8	I thought my partner was attractive.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50326	0.1969	0	3	4	2.678	1.136	5	▂▂▁▇▁▇▁▇
in_pair_desire_10	I felt sexually attracted to my partner.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50426	0.1953	0	2	4	1.974	1.349	5	▆▅▁▇▁▆▁▅
in_pair_desire_11	I wanted to be sexually active with my partner.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50511	0.1940	0	2	4	1.733	1.463	5	▇▅▁▆▁▅▁▅
in_pair_desire_13	I fantasized about tenderness with my partner.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50495	0.1942	0	2	4	1.716	1.445	5	▇▅▁▅▁▅▁▃
in_pair_desire_14	I fantasized about having sex with my partner.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	50546	0.1934	0	1	4	1.347	1.415	5	▇▃▁▃▁▂▁▂

Scale: extra_pair_desire

Overview

Reliability: See details tab.

Missing: 6361.

Likert plot of scale extra_pair_desire items

Distribution of scale extra_pair_desire

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  7 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.9 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.01 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.84 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.61    0.37
Time             0.01    0.00
Items            0.02    0.01
ID x time        0.00    0.00
ID x items       0.49    0.30
time x items     0.01    0.00
Residual         0.50    0.30
Total            1.64    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.63    0.36
id(time)     0.47    0.27
residual     0.65    0.37
total        1.75    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
extra_pair_desire_7	I felt attracted towards r othermen.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44116	0.2960	0	0	4	0.9064	1.269	5	▇▂▁▂▁▂▁▁
extra_pair_desire_8	I noticed r other attractive men around my.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44396	0.2915	0	1	4	1.1490	1.356	5	▇▂▁▂▁▂▁▁
extra_pair_desire_10	I felt sexually attracted towards r another man.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44482	0.2902	0	0	4	0.7700	1.251	5	▇▂▁▁▁▁▁▁
extra_pair_desire_11	I wanted to be sexually active with r another man.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44375	0.2919	0	0	4	0.7612	1.271	5	▇▁▁▁▁▁▁▁
extra_pair_desire_13	I had fantasies about tenderness with a r other man.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44457	0.2906	0	0	4	0.8813	1.354	5	▇▁▁▁▁▁▁▁
extra_pair_desire_14	I had fantasies about having sex with a r other man.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44095	0.2963	0	0	4	0.7374	1.282	5	▇▁▁▁▁▁▁▁
extra_pair_desire_16	I thought about r otherpotential partners.	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	44023	0.2975	0	0	4	1.0375	1.394	5	▇▂▁▂▁▂▁▁

weekday

Distribution

Distribution of values for weekday

0 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
weekday	factor	FALSE	Monday, 2. Tuesday, 3. Wednesday, 4. Thursday, 5. Friday, 6. Saturday, 7. Sunday	0	1	7	Mon: 9241, Tue: 9189, Wed: 9137, Sun: 9131	NA

weekend

Distribution

Distribution of values for weekend

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
weekend	numeric	0	1	0	0	1	0.4159	0.4929	▇▁▁▁▆	NA

sleep_duration

Distribution

Distribution of values for sleep_duration

31917 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
sleep_duration	numeric	31917	0.4907	0	8	24	7.921	2.034	▁▇▁▁▁	NA

first_diary_day

Distribution

## 208  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
first_diary_day	Date	0	1	208	2016-05-03	2016-09-20	2017-01-15	NA

progesterone_mean

Distribution

Distribution of values for progesterone_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
progesterone_mean	numeric	55406	0.1159	2.5	43	141	44.17	29.72	▇▇▅▂▁	NA

progesterone_diff

Distribution

Distribution of values for progesterone_diff

62335 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
progesterone_diff	numeric	62335	0.0053	-129	-5.8	156	0.2956	52.46	▂▆▇▂▁	NA

progesterone_log_mean

Distribution

Distribution of values for progesterone_log_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
progesterone_log_mean	numeric	55406	0.1159	0.91	2.8	4.7	2.75	0.7464	▂▃▇▅▁	NA

progesterone_log_diff

Distribution

Distribution of values for progesterone_log_diff

62335 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
progesterone_log_diff	numeric	62335	0.0053	-2.8	-0.13	3.1	-0.0089	1.356	▃▇▆▆▂	NA

estradiol_mean

Distribution

Distribution of values for estradiol_mean

58567 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
estradiol_mean	numeric	58567	0.0654	2.9	6.8	57	10.62	9.918	▇▁▁▁▁	NA

estradiol_diff

Distribution

Distribution of values for estradiol_diff

62594 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
estradiol_diff	numeric	62594	0.0011	-11	0	10	-0.1614	2.983	▁▁▇▁▁	NA

estradiol_log_mean

Distribution

Distribution of values for estradiol_log_mean

58567 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
estradiol_log_mean	numeric	58567	0.0654	1.1	1.9	4	2.055	0.6793	▇▇▅▂▁	NA

estradiol_log_diff

Distribution

Distribution of values for estradiol_log_diff

62594 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
estradiol_log_diff	numeric	62594	0.0011	-0.95	0	1.2	-0.0111	0.3315	▁▂▇▁▁	NA

ibl_estradiol_mean

Distribution

Distribution of values for ibl_estradiol_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ibl_estradiol_mean	numeric	55406	0.1159	1.7	5.3	14	5.675	2.388	▅▇▅▂▁	NA

ibl_estradiol_diff

Distribution

Distribution of values for ibl_estradiol_diff

62330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ibl_estradiol_diff	numeric	62330	0.0054	-6.8	-0.26	8.7	-0.0642	2.44	▁▇▇▂▁	NA

ibl_estradiol_log_mean

Distribution

Distribution of values for ibl_estradiol_log_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ibl_estradiol_log_mean	numeric	55406	0.1159	-0.029	1.5	2.6	1.55	0.4578	▁▂▇▆▂	NA

ibl_estradiol_log_diff

Distribution

Distribution of values for ibl_estradiol_log_diff

62330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
ibl_estradiol_log_diff	numeric	62330	0.0054	-2.4	0.00027	1.2	-0.0137	0.4893	▁▁▃▇▂	NA

testosterone_mean

Distribution

Distribution of values for testosterone_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
testosterone_mean	numeric	55406	0.1159	1.8	7.2	25	7.739	3.418	▆▇▂▁▁	NA

testosterone_diff

Distribution

Distribution of values for testosterone_diff

62323 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
testosterone_diff	numeric	62323	0.0055	-6.6	-0.12	14	0.0226	2.379	▂▇▂▁▁	NA

testosterone_log_mean

Distribution

Distribution of values for testosterone_log_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
testosterone_log_mean	numeric	55406	0.1159	0.58	1.9	3.2	1.911	0.4465	▁▃▇▅▁	NA

testosterone_log_diff

Distribution

Distribution of values for testosterone_log_diff

62323 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
testosterone_log_diff	numeric	62323	0.0055	-1.1	0.0045	0.92	0.0026	0.2817	▁▂▇▅▁	NA

cortisol_mean

Distribution

Distribution of values for cortisol_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cortisol_mean	numeric	55406	0.1159	0.94	3.2	10	3.634	1.832	▇▆▃▁▁	NA

cortisol_diff

Distribution

Distribution of values for cortisol_diff

62312 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cortisol_diff	numeric	62312	0.0056	-4.8	-0.22	7.6	-0.0472	1.725	▁▇▅▁▁	NA

cortisol_log_mean

Distribution

Distribution of values for cortisol_log_mean

55406 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cortisol_log_mean	numeric	55406	0.1159	-0.064	1.1	2.3	1.061	0.4778	▂▇▇▃▂	NA

cortisol_log_diff

Distribution

Distribution of values for cortisol_log_diff

62312 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cortisol_log_diff	numeric	62312	0.0056	-3	-0.0094	1.6	-0.0061	0.4854	▁▁▃▇▁	NA

window_length

Distribution

Distribution of values for window_length

62121 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
window_length	numeric	62121	0.0087	1	5	66	6.932	7.471	▇▁▁▁▁	NA

date_of_ovulation_awareness

Distribution

## 164  unique, categorical values, so not shown.

62359 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_awareness	Date	62359	0.0049	164	2016-05-19	2016-10-17	2017-02-16	NA

diary_day_observation

Distribution

Distribution of values for diary_day_observation

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
diary_day_observation	character	0	1	4	0	8	20	0	NA

next_menstrual_onset

Distribution

## 303  unique, categorical values, so not shown.

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
next_menstrual_onset	Date	17350	0.7231	303	2016-05-09	2016-10-31	2017-04-20	NA

last_menstrual_onset

Distribution

## 304  unique, categorical values, so not shown.

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
last_menstrual_onset	Date	10236	0.8367	304	2016-04-02	2016-09-28	2017-03-23	NA

menstrual_onset_days_until

Distribution

Distribution of values for menstrual_onset_days_until

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
menstrual_onset_days_until	numeric	17350	0.7231	-291	-14	-1	-15.88	13.62	▁▁▁▁▇	NA

menstrual_onset_days_since

Distribution

Distribution of values for menstrual_onset_days_since

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
menstrual_onset_days_since	numeric	10236	0.8367	0	14	188	15.29	10.76	▇▁▁▁▁	NA

date_origin

Distribution

Distribution of values for date_origin

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
date_origin	character	0	1	4	0	3	9	0	NA

menstruation_labelled

Distribution

Distribution of values for menstruation_labelled

0 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
menstruation_labelled	factor	FALSE	yes, 2. probably, 3. no	0	1	3	no: 52773, pro: 5743, yes: 4150	NA

next_menstrual_onset_if_no_last

Distribution

## No non-missing values to show.

62666 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	label
next_menstrual_onset_if_no_last	Date	62666	0	0	NA

day_number

Distribution

Distribution of values for day_number

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
day_number	numeric	0	1	0	30	70	31.44	20.28	▇▆▆▅▅	NA

number_of_cycles

Distribution

Distribution of values for number_of_cycles

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
number_of_cycles	numeric	10236	0.8367	1	4	7	3.657	0.8565	▁▃▇▂▁	NA

cycle_nr

Distribution

Distribution of values for cycle_nr

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cycle_nr	numeric	10236	0.8367	1	2	5	2.096	0.8484	▅▇▅▁▁	NA

cycle_length

Distribution

Distribution of values for cycle_length

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cycle_length	numeric	17350	0.7231	7	29	292	31.6	12.85	▇▁▁▁▁	NA

cycle_nr_fully_observed

Distribution

Distribution of values for cycle_nr_fully_observed

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
cycle_nr_fully_observed	numeric	10236	0.8367	0	3	5	2.629	0.8459	▁▅▇▁▁	NA

mean_cycle_length_diary

Distribution

Distribution of values for mean_cycle_length_diary

11376 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
mean_cycle_length_diary	numeric	11376	0.8185	13	28	266	31.05	10.52	▇▁▁▁▁	NA

median_cycle_length_diary

Distribution

Distribution of values for median_cycle_length_diary

11376 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
median_cycle_length_diary	numeric	11376	0.8185	14	28	266	30.83	10.42	▇▁▁▁▁	NA

next_menstrual_onset_inferred

Distribution

## 302  unique, categorical values, so not shown.

10330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
next_menstrual_onset_inferred	Date	10330	0.8352	302	2016-05-05	2016-10-26	2017-04-20	NA

RCD_inferred

Distribution

Distribution of values for RCD_inferred

10330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_inferred	numeric	10330	0.8352	-50	-14	160	-13.32	10.88	▇▃▁▁▁	NA

luteal_BC

Distribution

Distribution of values for luteal_BC

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
luteal_BC	numeric	17350	0.7231	0	1	1	0.5437	0.4981	▇▁▁▁▇	NA

follicular_FC

Distribution

Distribution of values for follicular_FC

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
follicular_FC	numeric	10236	0.8367	0	1	1	0.5385	0.4985	▇▁▁▁▇	NA

day_lh_surge

Distribution

Distribution of values for day_lh_surge

62513 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
day_lh_surge	numeric	62513	0.0024	1	1	1	1	0	▁▁▇▁▁	NA

day_of_ovulation

Distribution

Distribution of values for day_of_ovulation

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
day_of_ovulation	numeric	17350	0.7231	0	0	1	0.0341	0.1814	▇▁▁▁▁	NA

day_of_ovulation_inferred

Distribution

Distribution of values for day_of_ovulation_inferred

10330 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
day_of_ovulation_inferred	numeric	10330	0.8352	0	0	1	0.0338	0.1808	▇▁▁▁▁	NA

day_of_ovulation_forward_counted

Distribution

Distribution of values for day_of_ovulation_forward_counted

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
day_of_ovulation_forward_counted	numeric	10236	0.8367	0	0	1	0.0337	0.1805	▇▁▁▁▁	NA

date_of_ovulation_BC

Distribution

## 271  unique, categorical values, so not shown.

21945 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_BC	Date	21945	0.6498	271	2016-05-05	2016-10-17	2017-03-12	NA

date_of_ovulation_inferred

Distribution

## 268  unique, categorical values, so not shown.

17520 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_inferred	Date	17520	0.7204	268	2016-05-12	2016-10-14	2017-03-11	NA

date_of_ovulation_forward_counted

Distribution

## 269  unique, categorical values, so not shown.

17292 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_forward_counted	Date	17292	0.7241	269	2016-05-07	2016-10-16	2017-03-12	NA

date_of_ovulation_LH

Distribution

## 131  unique, categorical values, so not shown.

58430 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_LH	Date	58430	0.0676	131	2016-05-15	2016-10-21	2017-03-17	NA

DRLH

Distribution

Distribution of values for DRLH

58705 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
DRLH	numeric	58705	0.0632	-15	1	15	0.51	7.929	▆▇▇▇▆	NA

date_of_ovulation_awareness_nr

Distribution

Distribution of values for date_of_ovulation_awareness_nr

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
date_of_ovulation_awareness_nr	numeric	0	1	0	0	3	0.2085	0.442	▇▂▁▁▁	NA

fertile_awareness

Distribution

Distribution of values for fertile_awareness

62359 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_awareness	numeric	62359	0.0049	1	1	1	1	0	▁▁▇▁▁	NA

date_of_ovulation_avg_follicular

Distribution

## 217  unique, categorical values, so not shown.

52392 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_avg_follicular	Date	52392	0.1639	217	2016-04-26	2016-09-27	2017-03-13	NA

date_of_ovulation_avg_luteal

Distribution

## 207  unique, categorical values, so not shown.

54213 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_avg_luteal	Date	54213	0.1349	207	2016-04-28	2016-09-27	2017-03-09	NA

date_of_ovulation_avg_luteal_inferred

Distribution

## 209  unique, categorical values, so not shown.

53034 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
date_of_ovulation_avg_luteal_inferred	Date	53034	0.1537	209	2016-04-29	2016-09-27	2017-02-16	NA

FCD

Distribution

Distribution of values for FCD

10236 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
FCD	numeric	10236	0.8367	1	15	189	16.29	10.76	▇▁▁▁▁	NA

RCD

Distribution

Distribution of values for RCD

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD	numeric	17350	0.7231	-291	-14	-1	-15.88	13.62	▁▁▁▁▇	NA

DAL

Distribution

Distribution of values for DAL

54213 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
DAL	numeric	54213	0.1349	-182	0	20	-1.075	11.12	▁▁▁▁▇	NA

RCD_squished

Distribution

Distribution of values for RCD_squished

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_squished	numeric	18575	0.7036	-29	-14	-1	-14.12	8.168	▆▆▆▇▇	NA

RCD_squished_rounded

Distribution

Distribution of values for RCD_squished_rounded

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_squished_rounded	numeric	18575	0.7036	-29	-14	-1	-14.12	8.172	▆▇▆▇▇	NA

RCD_inferred_squished

Distribution

Distribution of values for RCD_inferred_squished

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_inferred_squished	numeric	14955	0.7614	-29	-15	-1	-15.37	8.098	▇▇▆▇▆	NA

RCD_rel_to_ovulation

Distribution

Distribution of values for RCD_rel_to_ovulation

17350 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_rel_to_ovulation	numeric	17350	0.7231	-276	1	14	-0.8777	13.62	▁▁▁▁▇	NA

RCD_fab

Distribution

Distribution of values for RCD_fab

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
RCD_fab	numeric	18575	0.7036	-29	-14	-1	-14.12	8.168	▆▆▆▇▇	NA

conception_risk_lh

Distribution

Distribution of values for conception_risk_lh

61027 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
conception_risk_lh	numeric	61027	0.0262	0	0.06	0.25	0.101	0.0928	▇▃▁▃▃	NA

fertile_lh

Distribution

Distribution of values for fertile_lh

58705 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_lh	numeric	58705	0.0632	0	0	1	0.1671	0.3108	▇▁▁▁▁	NA

prc_stirn_b

Distribution

Distribution of values for prc_stirn_b

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b	numeric	18575	0.7036	0.01	0.07	0.58	0.1726	0.1944	▇▂▁▁▂	NA

prc_wcx_b

Distribution

Distribution of values for prc_wcx_b

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b	numeric	18575	0.7036	0	0.016	0.094	0.0308	0.0309	▇▂▁▂▂	NA

fertile_narrow

Distribution

Distribution of values for fertile_narrow

40036 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow	numeric	40036	0.3611	0.053	0.053	0.51	0.2078	0.2161	▇▁▁▁▅	NA

fertile_broad

Distribution

Distribution of values for fertile_broad

34137 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad	numeric	34137	0.4553	0.053	0.053	0.44	0.237	0.1931	▇▁▁▁▇	NA

fertile_window

Distribution

Distribution of values for fertile_window

34137 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window	factor	FALSE	infertile, 2. broad, 3. narrow	34137	0.4553	3	inf: 14976, nar: 7654, bro: 5899	NA

premenstrual_phase

Distribution

Distribution of values for premenstrual_phase

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase	logical	18575	0.7036	FAL: 33940, TRU: 10151	0.2302	NA

prc_stirn_b_squished

Distribution

Distribution of values for prc_stirn_b_squished

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b_squished	numeric	18575	0.7036	0.01	0.07	0.58	0.1782	0.1956	▇▂▁▁▂	NA

prc_wcx_b_squished

Distribution

Distribution of values for prc_wcx_b_squished

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b_squished	numeric	18575	0.7036	0	0.018	0.094	0.0315	0.0311	▇▂▁▂▂	NA

fertile_narrow_squished

Distribution

Distribution of values for fertile_narrow_squished

39753 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow_squished	numeric	39753	0.3656	0.053	0.053	0.51	0.2115	0.2173	▇▁▁▁▅	NA

fertile_broad_squished

Distribution

Distribution of values for fertile_broad_squished

33636 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad_squished	numeric	33636	0.4632	0.053	0.053	0.44	0.2405	0.1932	▇▁▁▁▇	NA

fertile_window_squished

Distribution

Distribution of values for fertile_window_squished

33636 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window_squished	factor	FALSE	infertile, 2. broad, 3. narrow	33636	0.4632	3	inf: 14976, nar: 7937, bro: 6117	NA

premenstrual_phase_squished

Distribution

Distribution of values for premenstrual_phase_squished

18575 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase_squished	logical	18575	0.7036	FAL: 33940, TRU: 10151	0.2302	NA

prc_stirn_b_inferred_squished

Distribution

Distribution of values for prc_stirn_b_inferred_squished

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b_inferred_squished	numeric	14955	0.7614	0.01	0.09	0.58	0.1826	0.1957	▇▂▁▁▂	NA

prc_wcx_b_inferred_squished

Distribution

Distribution of values for prc_wcx_b_inferred_squished

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b_inferred_squished	numeric	14955	0.7614	0	0.018	0.094	0.0318	0.0314	▇▂▁▂▂	NA

fertile_narrow_inferred_squished

Distribution

Distribution of values for fertile_narrow_inferred_squished

39124 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow_inferred_squished	numeric	39124	0.3757	0.053	0.053	0.51	0.2224	0.2205	▇▁▁▁▅	NA

fertile_broad_inferred_squished

Distribution

Distribution of values for fertile_broad_inferred_squished

32218 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad_inferred_squished	numeric	32218	0.4859	0.053	0.44	0.44	0.2517	0.1933	▇▁▁▁▇	NA

fertile_window_inferred_squished

Distribution

Distribution of values for fertile_window_inferred_squished

32218 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window_inferred_squished	factor	FALSE	infertile, 2. broad, 3. narrow	32218	0.4859	3	inf: 14824, nar: 8718, bro: 6906	NA

premenstrual_phase_inferred_squished

Distribution

Distribution of values for premenstrual_phase_inferred_squished

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase_inferred_squished	logical	14955	0.7614	FAL: 39255, TRU: 8456	0.1772	NA

prc_stirn_b_forward_counted

Distribution

Distribution of values for prc_stirn_b_forward_counted

11543 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b_forward_counted	numeric	11543	0.8158	0.01	0.07	0.58	0.1751	0.1952	▇▂▁▁▂	NA

prc_wcx_b_forward_counted

Distribution

Distribution of values for prc_wcx_b_forward_counted

11543 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b_forward_counted	numeric	11543	0.8158	0	0.016	0.094	0.0305	0.0313	▇▂▁▂▂	NA

fertile_narrow_forward_counted

Distribution

Distribution of values for fertile_narrow_forward_counted

38745 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow_forward_counted	numeric	38745	0.3817	0.053	0.053	0.51	0.2235	0.2208	▇▁▁▁▅	NA

fertile_broad_forward_counted

Distribution

Distribution of values for fertile_broad_forward_counted

31648 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad_forward_counted	numeric	31648	0.495	0.053	0.44	0.44	0.2529	0.1932	▇▁▁▁▇	NA

fertile_window_forward_counted

Distribution

Distribution of values for fertile_window_forward_counted

31648 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window_forward_counted	factor	FALSE	infertile, 2. broad, 3. narrow	31648	0.495	3	inf: 15006, nar: 8915, bro: 7097	NA

premenstrual_phase_forward_counted

Distribution

Distribution of values for premenstrual_phase_forward_counted

11543 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase_forward_counted	logical	11543	0.8158	FAL: 42466, TRU: 8657	0.1693	NA

prc_stirn_b_aware_luteal

Distribution

Distribution of values for prc_stirn_b_aware_luteal

54504 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b_aware_luteal	numeric	54504	0.1302	0.01	0.07	0.58	0.177	0.1956	▇▂▁▁▂	NA

prc_wcx_b_aware_luteal

Distribution

Distribution of values for prc_wcx_b_aware_luteal

54504 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b_aware_luteal	numeric	54504	0.1302	0	0.016	0.094	0.0314	0.0312	▇▂▁▂▂	NA

fertile_narrow_aware_luteal

Distribution

Distribution of values for fertile_narrow_aware_luteal

58554 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow_aware_luteal	numeric	58554	0.0656	0.053	0.053	0.51	0.2158	0.2187	▇▁▁▁▅	NA

fertile_broad_aware_luteal

Distribution

Distribution of values for fertile_broad_aware_luteal

57436 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad_aware_luteal	numeric	57436	0.0835	0.053	0.053	0.44	0.2442	0.1933	▇▁▁▁▇	NA

fertile_window_aware_luteal

Distribution

Distribution of values for fertile_window_aware_luteal

57436 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window_aware_luteal	factor	FALSE	infertile, 2. broad, 3. narrow	57436	0.0835	3	inf: 2649, nar: 1463, bro: 1118	NA

premenstrual_phase_aware_luteal

Distribution

Distribution of values for premenstrual_phase_aware_luteal

54504 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase_aware_luteal	logical	54504	0.1302	FAL: 6599, TRU: 1563	0.1915	NA

prc_stirn_b_inferred

Distribution

Distribution of values for prc_stirn_b_inferred

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_stirn_b_inferred	numeric	14955	0.7614	0.01	0.09	0.58	0.1852	0.1967	▇▂▁▁▃	NA

prc_wcx_b_inferred

Distribution

Distribution of values for prc_wcx_b_inferred

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
prc_wcx_b_inferred	numeric	14955	0.7614	0	0.018	0.094	0.0323	0.0315	▇▂▁▂▂	NA

fertile_narrow_inferred

Distribution

Distribution of values for fertile_narrow_inferred

39014 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_narrow_inferred	numeric	39014	0.3774	0.053	0.053	0.51	0.2238	0.2209	▇▁▁▁▅	NA

fertile_broad_inferred

Distribution

Distribution of values for fertile_broad_inferred

31969 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
fertile_broad_inferred	numeric	31969	0.4899	0.053	0.44	0.44	0.2533	0.1932	▇▁▁▁▇	NA

fertile_window_inferred

Distribution

Distribution of values for fertile_window_inferred

31969 missing values.

Summary statistics

name	data_type	ordered	value_labels	n_missing	complete_rate	n_unique	top_counts	label
fertile_window_inferred	factor	FALSE	infertile, 2. broad, 3. narrow	31969	0.4899	3	inf: 14824, nar: 8828, bro: 7045	NA

premenstrual_phase_inferred

Distribution

Distribution of values for premenstrual_phase_inferred

14955 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	count	mean	label
premenstrual_phase_inferred	logical	14955	0.7614	FAL: 39255, TRU: 8456	0.1772	NA

fertile_fab

Est. fertile window prob. (BC+i)

Distribution

Distribution of values for fertile_fab

18575 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
fertile_fab	Est. fertile window prob. (BC+i)	numeric	18575	0.7036	0.01	0.07	0.58	0.1726	0.1944	▇▂▁▁▂

premenstrual_phase_fab

Est. premenstrual phase (BC+i)

Distribution

Distribution of values for premenstrual_phase_fab

18575 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	count	mean
premenstrual_phase_fab	Est. premenstrual phase (BC+i)	logical	18575	0.7036	FAL: 33940, TRU: 10151	0.2302

menstruation_imputed

Distribution

Distribution of values for menstruation_imputed

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
menstruation_imputed	numeric	0	1	0.000000035	0.0017	1	0.1413	0.3028	▇▁▁▁▁	NA

menstruation

Est. menstruation

Distribution

Distribution of values for menstruation

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
menstruation	Est. menstruation	numeric	0	1	0	0.0002	1	0.1411	0.3191	▇▁▁▁▁

Scale: extra_pair_desire_and_behaviour

Overview

Reliability: See details tab.

Missing: 1616.

Likert plot of scale extra_pair_desire_and_behaviour items

Distribution of scale extra_pair_desire_and_behaviour

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  15 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.91 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.12 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.8 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.47    0.26
Time             0.00    0.00
Items            0.34    0.18
ID x time        0.01    0.00
ID x items       0.37    0.20
time x items     0.00    0.00
Residual         0.63    0.35
Total            1.82    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.49    0.23
id(time)     0.34    0.16
residual     1.26    0.60
total        2.09    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
extra_pair_desire_1	I thought of another man.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44311	0.2929	0	0	4	1.2740	1.518	5	▇▂▁▂▁▂▁▂
extra_pair_desire_2R	I did not feel like spending time with other men.	NA	NA	haven_labelled	0: not right, 3. 1, 2. 2, 1. 3, 0. 4: exactly right	NA	NA	NA	NA	NA	43971	0.2983	0	2	4	1.7023	1.610	5	▇▂▁▃▁▂▁▅
extra_pair_desire_3R	I didn’t care whether r other men perceived me as attractive.	NA	NA	haven_labelled	0: not right, 3. 1, 2. 2, 1. 3, 0. 4: exactly right	NA	NA	NA	NA	NA	44212	0.2945	0	2	4	2.0392	1.489	5	▇▅▁▆▁▇▁▇
extra_pair_desire_4	r Other men flirted with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44315	0.2928	0	0	4	0.7981	1.207	5	▇▂▁▂▁▁▁▁
extra_pair_desire_6	I flirted with r other men.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44261	0.2937	0	0	4	0.5989	1.078	5	▇▂▁▁▁▁▁▁
extra_pair_desire_7	I felt attracted towards r othermen.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44116	0.2960	0	0	4	0.9064	1.269	5	▇▂▁▂▁▂▁▁
extra_pair_desire_8	I noticed r other attractive men around my.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44396	0.2915	0	1	4	1.1490	1.356	5	▇▂▁▂▁▂▁▁
extra_pair_desire_9	r other_uc men perceived me as attractive.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44331	0.2926	0	2	4	1.4719	1.241	5	▇▃▁▇▁▃▁▂
extra_pair_desire_10	I felt sexually attracted towards r another man.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44482	0.2902	0	0	4	0.7700	1.251	5	▇▂▁▁▁▁▁▁
extra_pair_desire_11	I wanted to be sexually active with r another man.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44375	0.2919	0	0	4	0.7612	1.271	5	▇▁▁▁▁▁▁▁
extra_pair_desire_12	A r other man seemed keen to sexually active with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44370	0.2920	0	0	4	0.7033	1.205	5	▇▁▁▁▁▁▁▁
extra_pair_desire_13	I had fantasies about tenderness with a r other man.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44457	0.2906	0	0	4	0.8813	1.354	5	▇▁▁▁▁▁▁▁
extra_pair_desire_14	I had fantasies about having sex with a r other man.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44095	0.2963	0	0	4	0.7374	1.282	5	▇▁▁▁▁▁▁▁
extra_pair_desire_5R	r andere_uc Männer haben mich ignoriert.	rating_button	0,4,1 approval	haven_labelled	0: stimmt nicht, 3. 1, 2. 2, 1. 3, 0. 4: stimmt genau	0	runif(1) < 0.3		77	rating_button_label_width150 blank_button	44296	0.2931	0	3	4	2.7059	1.237	5	▂▂▁▆▁▅▁▇
extra_pair_desire_16	I thought about r otherpotential partners.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44023	0.2975	0	0	4	1.0375	1.394	5	▇▂▁▂▁▂▁▁

Scale: extra_pair_interest

Overview

Reliability: See details tab.

Missing: 16022.

Likert plot of scale extra_pair_interest items

Distribution of scale extra_pair_interest

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  4 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.77 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.01 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.31 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.34    0.16
Time             0.00    0.00
Items            0.83    0.39
ID x time        0.00    0.00
ID x items       0.42    0.20
time x items     0.00    0.00
Residual         0.53    0.25
Total            2.12    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.39   0.184
id(time)     0.18   0.083
residual     1.57   0.733
total        2.14   1.000

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
extra_pair_desire_4	r Other men flirted with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44315	0.2928	0	0	4	0.7981	1.207	5	▇▂▁▂▁▁▁▁
extra_pair_desire_9	r other_uc men perceived me as attractive.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44331	0.2926	0	2	4	1.4719	1.241	5	▇▃▁▇▁▃▁▂
extra_pair_desire_12	A r other man seemed keen to sexually active with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	44370	0.2920	0	0	4	0.7033	1.205	5	▇▁▁▁▁▁▁▁
extra_pair_desire_5R	r andere_uc Männer haben mich ignoriert.	rating_button	0,4,1 approval	haven_labelled	0: stimmt nicht, 3. 1, 2. 2, 1. 3, 0. 4: stimmt genau	0	runif(1) < 0.3		77	rating_button_label_width150 blank_button	44296	0.2931	0	3	4	2.7059	1.237	5	▂▂▁▆▁▅▁▇

Scale: in_pair_desire_and_behaviour

Overview

Reliability: See details tab.

Missing: 22257.

Likert plot of scale in_pair_desire_and_behaviour items

Distribution of scale in_pair_desire_and_behaviour

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  14 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.81 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.17 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.79 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.32    0.16
Time             0.02    0.01
Items            0.50    0.26
ID x time        0.01    0.00
ID x items       0.42    0.21
time x items     0.02    0.01
Residual         0.68    0.34
Total            1.96    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.33    0.15
id(time)     0.39    0.18
residual     1.42    0.66
total        2.14    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
in_pair_desire_1	I thought of my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50542	0.1935	0	3	4	2.935	1.1375	5	▁▁▁▅▁▆▁▇
in_pair_desire_2R	I did not feel like spending time with my partner.	NA	NA	haven_labelled	0: not right, 3. 1, 2. 2, 1. 3, 0. 4: exactly right	NA	NA	NA	NA	NA	50608	0.1924	0	4	4	3.371	1.1297	5	▁▁▁▁▁▁▁▇
in_pair_desire_3R	I didn’t care if my partner perceived my as attractive.	NA	NA	haven_labelled	0: not right, 3. 1, 2. 2, 1. 3, 0. 4: exactly right	NA	NA	NA	NA	NA	50580	0.1929	0	3	4	2.982	1.2347	5	▁▁▁▃▁▃▁▇
in_pair_desire_4	My partner flirted with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50371	0.1962	0	2	4	1.589	1.3775	5	▇▅▁▆▁▅▁▃
in_pair_desire_6	I flirted with my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50429	0.1953	0	2	4	1.558	1.3788	5	▇▃▁▅▁▅▁▂
in_pair_desire_7	I felt attracted towards my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50462	0.1947	0	3	4	2.580	1.2463	5	▂▂▁▇▁▇▁▇
in_pair_desire_8	I thought my partner was attractive.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50326	0.1969	0	3	4	2.678	1.1362	5	▂▂▁▇▁▇▁▇
in_pair_desire_9	My partner thought I was attractive.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50479	0.1945	0	2	4	2.458	1.0858	5	▁▁▁▇▁▅▁▃
in_pair_desire_10	I felt sexually attracted to my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50426	0.1953	0	2	4	1.974	1.3490	5	▆▅▁▇▁▆▁▅
in_pair_desire_11	I wanted to be sexually active with my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50511	0.1940	0	2	4	1.733	1.4629	5	▇▅▁▆▁▅▁▅
in_pair_desire_12	My partner seemed interested in being sexually active with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50617	0.1923	0	2	4	1.802	1.5317	5	▇▃▁▅▁▃▁▆
in_pair_desire_13	I fantasized about tenderness with my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50495	0.1942	0	2	4	1.716	1.4450	5	▇▅▁▅▁▅▁▃
in_pair_desire_14	I fantasized about having sex with my partner.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50546	0.1934	0	1	4	1.347	1.4147	5	▇▃▁▃▁▂▁▂
in_pair_desire_5R	Mein Partner hat mich ignoriert.	rating_button	0,4,1 approval	haven_labelled	0: stimmt nicht, 3. 1, 2. 2, 1. 3, 0. 4: stimmt genau	0	s1_demo$hetero_relationship & runif(1) < 0.3		77	rating_button_label_width150 blank_button	50403	0.1957	0	4	4	3.480	0.9883	5	▁▁▁▁▁▂▁▇

Scale: in_pair_interest

Overview

Reliability: See details tab.

Missing: 31709.

Likert plot of scale in_pair_interest items

Distribution of scale in_pair_interest

Reliability details

Multilevel Generalizability analysis   
Call: psych::multilevel.reliability(x = long_rel, grp = "session", 
    Time = "day_number", items = "variable", aov = FALSE, lmer = TRUE, 
    lme = FALSE, long = TRUE, values = "value")

The data had  1373  observations taken over  60544  time intervals for  4 items.

 Alternative estimates of reliability based upon Generalizability theory

RkF  =  1 Reliability of average of all ratings across all items and  times (Fixed time effects)
R1R  =  0.66 Generalizability of a single time point across all items (Random time effects)
RkR  =  1 Generalizability of average time points across all items (Random time effects)
Rc   =  0.01 Generalizability of change (fixed time points, fixed items) 
RkRn =  1 Generalizability of between person differences averaged over time (time nested within people)
Rcn  =  0.41 Generalizability of within person variations averaged over items  (time nested within people)

 These reliabilities are derived from the components of variance estimated by lmer 
             variance Percent
ID               0.27    0.13
Time             0.04    0.02
Items            0.71    0.33
ID x time        0.00    0.00
ID x items       0.46    0.21
time x items     0.04    0.02
Residual         0.64    0.30
Total            2.16    1.00

 The nested components of variance estimated from lmer are:
         variance Percent
id           0.32    0.15
id(time)     0.27    0.13
residual     1.55    0.72
total        2.15    1.00

To see the ANOVA and alpha by subject, use the short = FALSE option.
 To see the summaries of the ICCs by subject and time, use all=TRUE
 To see specific objects select from the following list:
 ANOVA s.lmer s.lme alpha summary.by.person summary.by.time ICC.by.person ICC.by.time lmer long Call

Summary statistics

name	label	type	type_options	data_type	value_labels	optional	showif	value	item_order	class	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
in_pair_desire_4	My partner flirted with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50371	0.1962	0	2	4	1.589	1.3775	5	▇▅▁▆▁▅▁▃
in_pair_desire_9	My partner thought I was attractive.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50479	0.1945	0	2	4	2.458	1.0858	5	▁▁▁▇▁▅▁▃
in_pair_desire_12	My partner seemed interested in being sexually active with me.	NA	NA	haven_labelled	0: not right, 1. 1, 2. 2, 3. 3, 4. 4: exactly right	NA	NA	NA	NA	NA	50617	0.1923	0	2	4	1.802	1.5317	5	▇▃▁▅▁▃▁▆
in_pair_desire_5R	Mein Partner hat mich ignoriert.	rating_button	0,4,1 approval	haven_labelled	0: stimmt nicht, 3. 1, 2. 2, 1. 3, 0. 4: stimmt genau	0	s1_demo$hetero_relationship & runif(1) < 0.3		77	rating_button_label_width150 blank_button	50403	0.1957	0	4	4	3.480	0.9883	5	▁▁▁▁▁▂▁▇

grooming_broad

4 grooming items aggregated by robust_rowmeans

Distribution

Distribution of values for grooming_broad

15844 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
grooming_broad	4 grooming items aggregated by robust_rowmeans	numeric	15844	0.7472	-2.5	0.011	3	0.0006	0.9233	▂▆▇▃▁

saw_partner

Distribution

Distribution of values for saw_partner

21862 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
saw_partner	numeric	21862	0.6511	0	1	1	0.6581	0.4744	▅▁▁▁▇	NA

last_saw_partner_date

Distribution

## 324  unique, categorical values, so not shown.

22810 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
last_saw_partner_date	Date	22810	0.636	324	2016-05-03	2016-10-02	2017-03-23	NA

days_since_seeing_partner

Distribution

Distribution of values for days_since_seeing_partner

22810 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
days_since_seeing_partner	numeric	22810	0.636	0	0	72	2.294	5.277	▇▁▁▁▁	NA

time_since_seeing_partner

Distribution

Distribution of values for time_since_seeing_partner

22810 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
time_since_seeing_partner	numeric	22810	0.636	1	1	8	2.073	2.144	▇▁▁▁▁	NA

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Goettigen Ovulatory Cycle Diaries 2",
  "description": "A 70-day online diary study focusing on menstrual cycles, sexuality, mood, and behaviour\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "identifier": "https://doi.org/10.17605/OSF.IO/XXXX",
  "creator": "Ruben C. Arslan",
  "citation": "Arslan, R.C., Driebe, XXXX",
  "url": "https://rubenarslan.github.io/gocd2",
  "datePublished": "2020-06-02",
  "temporalCoverage": "2014-2015",
  "spatialCoverage": "German-speaking countries, online",
  "keywords": ["session", "short", "created_date", "created", "modified", "ended", "expired", "browser", "andere", "andere_uc", "anderen", "anderer", "days_done", "days_since_beginning", "days_since_last_entry", "never_skipped_more_than_2", "money_earned", "refer_time_period", "good_mood", "self_esteem", "relationship_satisfaction", "stressed", "irritable", "loneliness", "risk_taking", "illness_pain", "illness_pain_specific", "illness_pain_other", "partner_illness_pain", "partner_illness_pain_specific", "partner_illness_pain_other", "following_usual_routine", "everyday_specify", "travel", "travel_how", "sleep_amount", "sleep_quality", "sleep_fell_asleep_time", "sleep_awoke_time", "time_friends", "time_work_uni", "time_sports", "time_people", "time_family", "food_amount", "meat", "alcohol", "smoking", "grooming_1", "grooming_2", "grooming_time_spent", "vanity_1", "vanity_2", "vanity_3", "grooming_activities", "skin", "hair", "social_life_active", "social_life_saw_people", "social_life_thought_about", "social_life_free", "relationship_change", "relationship_change_specify", "night_spent_with_partner", "contact_partner", "saw_partner_last", "love_showed_to_partner", "love_shown_by_partner", "mate_retention1", "mate_retention2", "mate_retention3", "conflict_partner", "desirability", "high_libido", "is_single", "sexual_desire_for_whom", "sexual_initiation_self", "sexual_initiation_partner", "in_pair_desire_1", "in_pair_desire_2R", "in_pair_desire_3R", "in_pair_desire_4", "in_pair_went_out", "in_pair_desire_6", "in_pair_desire_7", "in_pair_desire_8", "in_pair_desire_9", "in_pair_desire_10", "in_pair_desire_11", "in_pair_desire_12", "in_pair_desire_13", "in_pair_desire_14", "in_pair_desire_5R", "extra_pair_desire_1", "extra_pair_desire_2R", "extra_pair_desire_3R", "extra_pair_desire_4", "extra_pair_went_out", "extra_pair_desire_6", "extra_pair_desire_7", "extra_pair_desire_8", "extra_pair_desire_9", "extra_pair_desire_10", "extra_pair_desire_11", "extra_pair_desire_12", "extra_pair_desire_13", "extra_pair_desire_14", "extra_pair_desire_5R", "extra_pair_desire_16", "sexual_desire_wants_desire", "sexual_desire_fulfill_sex_needs", "sexual_desire_fulfill_partner", "sexual_desire_for_activity", "last_had_sex", "sex_active", "no_sex_reason", "sex_acts", "sex_1_time", "sex_1_withwhom", "sex_1_activity", "sex_1_contraception", "sex_1_happy", "sex_1_enjoyed", "sex_1_partner_enjoyed", "sex_1_fantasy_partner", "sex_1_fantasy_actions", "sex_2_time", "sex_2_withwhom", "sex_2_activity", "sex_2_contraception", "sex_2_happy", "sex_2_enjoyed", "sex_2_partner_enjoyed", "sex_2_fantasy_partner", "sex_2_fantasy_actions", "menstrual_pain", "special_events_love_life", "menstruation_since_last_entry", "menstruation_today", "menstrual_onset", "menstrual_onset_date", "spotting", "answered_honestly_today", "dishonest_answers", "notes_to_us", "grooming", "vanity", "mate_retention", "in_pair_desire", "extra_pair_desire", "weekday", "weekend", "sleep_duration", "first_diary_day", "progesterone_mean", "progesterone_diff", "progesterone_log_mean", "progesterone_log_diff", "estradiol_mean", "estradiol_diff", "estradiol_log_mean", "estradiol_log_diff", "ibl_estradiol_mean", "ibl_estradiol_diff", "ibl_estradiol_log_mean", "ibl_estradiol_log_diff", "testosterone_mean", "testosterone_diff", "testosterone_log_mean", "testosterone_log_diff", "cortisol_mean", "cortisol_diff", "cortisol_log_mean", "cortisol_log_diff", "window_length", "date_of_ovulation_awareness", "diary_day_observation", "next_menstrual_onset", "last_menstrual_onset", "menstrual_onset_days_until", "menstrual_onset_days_since", "date_origin", "menstruation_labelled", "next_menstrual_onset_if_no_last", "day_number", "number_of_cycles", "cycle_nr", "cycle_length", "cycle_nr_fully_observed", "mean_cycle_length_diary", "median_cycle_length_diary", "next_menstrual_onset_inferred", "RCD_inferred", "luteal_BC", "follicular_FC", "day_lh_surge", "day_of_ovulation", "day_of_ovulation_inferred", "day_of_ovulation_forward_counted", "date_of_ovulation_BC", "date_of_ovulation_inferred", "date_of_ovulation_forward_counted", "date_of_ovulation_LH", "DRLH", "date_of_ovulation_awareness_nr", "fertile_awareness", "date_of_ovulation_avg_follicular", "date_of_ovulation_avg_luteal", "date_of_ovulation_avg_luteal_inferred", "FCD", "RCD", "DAL", "RCD_squished", "RCD_squished_rounded", "RCD_inferred_squished", "RCD_rel_to_ovulation", "RCD_fab", "conception_risk_lh", "fertile_lh", "prc_stirn_b", "prc_wcx_b", "fertile_narrow", "fertile_broad", "fertile_window", "premenstrual_phase", "prc_stirn_b_squished", "prc_wcx_b_squished", "fertile_narrow_squished", "fertile_broad_squished", "fertile_window_squished", "premenstrual_phase_squished", "prc_stirn_b_inferred_squished", "prc_wcx_b_inferred_squished", "fertile_narrow_inferred_squished", "fertile_broad_inferred_squished", "fertile_window_inferred_squished", "premenstrual_phase_inferred_squished", "prc_stirn_b_forward_counted", "prc_wcx_b_forward_counted", "fertile_narrow_forward_counted", "fertile_broad_forward_counted", "fertile_window_forward_counted", "premenstrual_phase_forward_counted", "prc_stirn_b_aware_luteal", "prc_wcx_b_aware_luteal", "fertile_narrow_aware_luteal", "fertile_broad_aware_luteal", "fertile_window_aware_luteal", "premenstrual_phase_aware_luteal", "prc_stirn_b_inferred", "prc_wcx_b_inferred", "fertile_narrow_inferred", "fertile_broad_inferred", "fertile_window_inferred", "premenstrual_phase_inferred", "fertile_fab", "premenstrual_phase_fab", "menstruation_imputed", "menstruation", "extra_pair_desire_and_behaviour", "extra_pair_interest", "in_pair_desire_and_behaviour", "in_pair_interest", "grooming_broad", "saw_partner", "last_saw_partner_date", "days_since_seeing_partner", "time_since_seeing_partner"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    },
    {
      "name": "created_date",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "browser",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "andere",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "andere_uc",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "anderen",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "anderer",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "days_done",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "days_since_beginning",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "days_since_last_entry",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "never_skipped_more_than_2",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "money_earned",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "refer_time_period",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "good_mood",
      "description": "My mood was good.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "self_esteem",
      "description": "I was satisfied with myself.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "relationship_satisfaction",
      "description": "I was happy with my relationship.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "stressed",
      "description": "I was stressed out.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "irritable",
      "description": "I was easily irritated.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "loneliness",
      "description": "I felt lonely.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "risk_taking",
      "description": "I was prepared to take risks.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "illness_pain",
      "description": "I felt ill/was in pain.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "illness_pain_specific",
      "description": "This is what I had: \n<small>(multiple answers are possible)<\/small>",
      "value": "headache. headache,\nmigraine. migraine,\nbladder_infection. bladder infection,\ncold. cold,\nflu. flu,\ngastrointestinal. gastrointestional illness,\nback_pain. back ache,\nother. other",
      "maxValue": "other",
      "minValue": "back_pain",
      "@type": "propertyValue"
    },
    {
      "name": "illness_pain_other",
      "description": "other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "partner_illness_pain",
      "description": "My partner felt ill/was in pain.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "partner_illness_pain_specific",
      "description": "This is what he had: <small>(multiple answers are possible)<\/small>",
      "value": "headache. headache,\nmigraine. migraine,\nbladder_infection. bladder infection,\ncold. cold,\nflu. flu,\ngastrointestinal. gastrointestional illness,\nback_pain. back ache,\nother. other",
      "maxValue": "other",
      "minValue": "back_pain",
      "@type": "propertyValue"
    },
    {
      "name": "partner_illness_pain_other",
      "description": "other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "following_usual_routine",
      "description": "I followed my daily routine.",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "everyday_specify",
      "description": "This was different than usual:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "travel",
      "description": "I travelled.",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "travel_how",
      "description": "This is what my journey was like:  <small>(multiple answers are possible)<\/small>",
      "value": "alone. alone,\nwith_family. with family,\nwith_friends. with friends,\nwith_partner. `r ifelse(s1_demo$hetero_relationship, 'with my partner', \"\")`,\njob_related. occupational,\nvacation. holiday,\nvisit. visit/visitors,\nold_home. old home",
      "maxValue": "with_partner",
      "minValue": "alone",
      "@type": "propertyValue"
    },
    {
      "name": "sleep_amount",
      "description": "This is how much I slept last night:",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sleep_quality",
      "description": "I had a good nights sleep yesterday.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sleep_fell_asleep_time",
      "description": "I fell asleep at the following time last night... <small>e.g. 23:30<\/small>",
      "@type": "propertyValue"
    },
    {
      "name": "sleep_awoke_time",
      "description": "I woke up at the following time this morning... <small>e.g. 08:15<\/small>",
      "@type": "propertyValue"
    },
    {
      "name": "time_friends",
      "description": "I spent time with friends.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "time_work_uni",
      "description": "I spent time working/studying.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "time_sports",
      "description": "I worked out.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "time_people",
      "description": "I looked for contact with other people.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "time_family",
      "description": "I looked for contact with my family.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "food_amount",
      "description": "This is the amount I ate:",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "meat",
      "description": "I ate meat.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "alcohol",
      "description": "I drank alcohol.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "smoking",
      "description": "I smoked.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "grooming_1",
      "description": "I was styled.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "grooming_2",
      "description": "I made an effort with my outfit (clothes, Make-Up,...).",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "grooming_time_spent",
      "description": "This many minutes I invested in preparing to go out:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "vanity_1",
      "description": "I was happy with the way I looked.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "vanity_2",
      "description": "I liked looking at myself in the mirror.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "vanity_3",
      "description": "I liked looking at my body.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "grooming_activities",
      "description": "Today I... <small>(multiple answers are possible)<\/small>",
      "value": "shaved_legs. <small>leg hair removal<\/small>,\nshaved_armpits. <small>armpit hair removal<\/small>,\nshaved_bikini_zone. <small>pubic hair removal<\/small>,\nplucked_eyebrows. <small>trimmed eyebrows<\/small>,\nmade_hair. <small>styled hair<\/small>",
      "maxValue": "shaved_legs",
      "minValue": "made_hair",
      "@type": "propertyValue"
    },
    {
      "name": "skin",
      "description": "My skin was... <small>(multiple answers are possible)<\/small>",
      "value": "super. great,\nas_always. as always,\nfattier. more greasy,\ndrier. more dry,\nmore_pimples. more pimply,\nwrinklier. more wrinkly,\nmore_sensitive. <small>more sensitive<\/small>",
      "maxValue": "wrinklier",
      "minValue": "as_always",
      "@type": "propertyValue"
    },
    {
      "name": "hair",
      "description": "My hair was... <small>(multiple answers are possible)<\/small>",
      "value": "super. great,\nas_always. as always,\nfattier. more greasy,\ndrier. more dry,\nfreshly_washed. <small>frshly washed<\/small>,\nfreshly_coloured. <small>frisch <abbr title=\"oder getönt oder gebleicht\">gefärbt<\/abbr><\/small>,\nuntameable. <small>difficult to tame<\/small>",
      "maxValue": "untameable",
      "minValue": "as_always",
      "@type": "propertyValue"
    },
    {
      "name": "social_life_active",
      "description": "I was socially active.",
      "value": "was_alone. not at all (was alone),\nbarely. hardly (e.g. went shopping),\njob_uni_related. only for work-/university related purposes (no connection to private life),\nmet_one_purposefully. met one person additionally,\nmet_several_purposefully. met multiple people additionally",
      "maxValue": "was_alone",
      "minValue": "barely",
      "@type": "propertyValue"
    },
    {
      "name": "social_life_saw_people",
      "description": "I had social contact with these people over a longer period of time (over an hour).",
      "value": "1. NA",
      "maxValue": "1",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "social_life_thought_about",
      "description": "I thought about these people and would have liked to have seen them.",
      "value": "1. NA",
      "maxValue": "1",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "social_life_free",
      "description": "These are the social activities I did: <small>optional<\/small>",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_change",
      "description": "Something important has changend in my relationship: <small>(multiple answers are possible)<\/small>",
      "value": "1. no,\n2. There was a move.,\n3. Stay abroad.,\n4. Change of the relationship status,\n5. Something else",
      "maxValue": "5",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "relationship_change_specify",
      "description": "I would like to add the following:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "night_spent_with_partner",
      "description": "I spent last night with my partner.",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "contact_partner",
      "description": "I spent `r refer_time_period`...",
      "value": "1. ... almost all the time with my partner.,\n2. ...alot of time with my partner.,\n3. ...a few hours with my partner.,\n4. ...only a short moment with my partner,\n5. ...no time with my partner, but I communicated with him/her multiple times.,\n6. ...no time with my partner, but I comunicated with him/her once.,\n7. ...no time with my partner, neither did I communicated with him/her.",
      "maxValue": 7,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "saw_partner_last",
      "description": "Before today I last saw my partner:",
      "value": "1. yesterday,\n2. the day before yesterday,\n3. three days ago,\n4. four days ago,\n5. five days ago,\n6. six days ago,\n7. a week or two ago,\n8. more than two weeks ago",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "love_showed_to_partner",
      "description": "I showed my partner that I love him/her.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "love_shown_by_partner",
      "description": "My partner showed my that I am loved.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "mate_retention1",
      "description": "My partner was clingy.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "mate_retention2",
      "description": "My partner was jealous.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "mate_retention3",
      "description": "My partner was possessive.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "conflict_partner",
      "description": "I got into a fight with my partner.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "desirability",
      "description": "I felt sexually desireble.",
      "value": "0. 0: less than usual,\n1. 1,\n2. 2,\n3. 3,\n4. 4: more than usual",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "high_libido",
      "description": "I had a great <abbr title= \"desire to have sex/masturbate/become sexually active\">Libido<\/abbr>.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "is_single",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sexual_desire_for_whom",
      "description": "I had the desire to become sexually active with the following person: <small>(multpile answers are possible)<\/small>",
      "value": "1. nobody specific,\n2. myself,\n3. acquaintance/friend,\n4. acquaintance/friend,\n5. stranger,\n6. stranger",
      "maxValue": "6",
      "minValue": "1",
      "@type": "propertyValue"
    },
    {
      "name": "sexual_initiation_self",
      "description": "I initiated sexual actions with my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_initiation_partner",
      "description": "My partner initiated sexual actions with me.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_1",
      "description": "I thought of my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_2R",
      "description": "I did _not_ feel like spending time with my partner.",
      "value": "4. 0: not right,\n3. 1,\n2. 2,\n1. 3,\n0. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_3R",
      "description": "I didn't care if my partner perceived my as attractive.",
      "value": "4. 0: not right,\n3. 1,\n2. 2,\n1. 3,\n0. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_4",
      "description": "My partner flirted with me.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_went_out",
      "description": "Ich bin __gemeinsam mit__  meinem Partner ausgegangen <small>(Party, Kneipe, Freunde treffen, ...).<\/small>",
      "value": "0. Nein,\n1. Ja",
      "maxValue": 1,
      "minValue": 0,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_6",
      "description": "I flirted with my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_7",
      "description": "I felt attracted towards my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_8",
      "description": "I thought my partner was attractive.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_9",
      "description": "My partner thought I was attractive.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_10",
      "description": "I felt sexually attracted to my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_11",
      "description": "I wanted to be sexually active with my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_12",
      "description": "My partner seemed interested in being sexually active with me.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_13",
      "description": "I fantasized about tenderness with my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_14",
      "description": "I fantasized about having sex with my partner.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_5R",
      "description": "Mein Partner hat mich ignoriert.",
      "value": "4. 0: stimmt nicht,\n3. 1,\n2. 2,\n1. 3,\n0. 4: stimmt genau",
      "maxValue": 4,
      "minValue": 0,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_1",
      "description": "I thought of another man.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_2R",
      "description": "I did __not__ feel like spending time with other men.",
      "value": "4. 0: not right,\n3. 1,\n2. 2,\n1. 3,\n0. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_3R",
      "description": "I didn't care whether `r other` men perceived me as attractive.",
      "value": "4. 0: not right,\n3. 1,\n2. 2,\n1. 3,\n0. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_4",
      "description": "`r Other` men flirted with me.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_went_out",
      "description": "Ich bin `r ifelse(s1_demo$hetero_relationship, '__ohne__ meinen Partner', '')` ausgegangen <small>(Party, Kneipe, Freunde treffen, ...).<\/small>",
      "value": "0. Nein,\n1. Ja",
      "maxValue": 1,
      "minValue": 0,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_6",
      "description": "I flirted with `r other` men.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_7",
      "description": "I felt attracted towards `r other`men.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_8",
      "description": "I noticed `r other` attractive men around my.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_9",
      "description": "`r other_uc` men perceived me as attractive.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_10",
      "description": "I felt sexually attracted towards `r another` man.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_11",
      "description": "I wanted to be sexually active with `r another` man.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_12",
      "description": "A `r other` man seemed keen to sexually active with me.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_13",
      "description": "I had fantasies about tenderness with a `r other` man.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_14",
      "description": "I had fantasies about having sex with a `r other` man.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_5R",
      "description": "`r andere_uc` Männer haben mich ignoriert.",
      "value": "4. 0: stimmt nicht,\n3. 1,\n2. 2,\n1. 3,\n0. 4: stimmt genau",
      "maxValue": 4,
      "minValue": 0,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_16",
      "description": "I thought about `r other`potential partners.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_desire_wants_desire",
      "description": "I wanted to be desired.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_desire_fulfill_sex_needs",
      "description": "I wanted to satisfy my sexual needs.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_desire_fulfill_partner",
      "description": "I wanted my partner to feel loved/desirable.",
      "value": "0. 0: not right,\n1. 1,\n2. 2,\n3. 3,\n4. 4: exactly right",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sexual_desire_for_activity",
      "description": "I felt like the following kind of sexual activity: <small>(multiple answers are possible)<\/small>",
      "value": "kissing. kissing,\ncuddling. cuddling etc.,\nphone_skype_sex. phone sex/ webcam sex,\nsex. intercourse (penetrative),\nmasturbation. masturbation,\nmasturbated_by_partner. stimulated my partner by hand,\nmasturbated_partner. stimulated from partner by hand,\nfellatio. stimulated my partner with my mouth,\ncunnilingus. stimulated from partner with his mouth,\nanal_sex. anal sex,\ntoys. toys (vibrator;...),\nbdsm_sub. BDSM-elements; I'm submissive (handcuffs/bonds; blindfold; spanking; etc.),\nbdsm_dom. BDSM-elements; I'm dominant (handcuffs/bonds; blindfold; spanking; etc.),\nnothing_particular. nothing specific",
      "maxValue": "toys",
      "minValue": "anal_sex",
      "@type": "propertyValue"
    },
    {
      "name": "last_had_sex",
      "description": "Before today I last had sex with my partner:",
      "value": "1. gestern,\n2. vorgestern,\n3. vor drei Tagen,\n4. vor 4 Tagen,\n5. vor 5 Tagen,\n6. vor 6 Tagen,\n7. vor ein bis zwei Wochen,\n8. vor mehr als zwei Wochen",
      "maxValue": 8,
      "minValue": 1,
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sex_active",
      "description": "I was `r refer_time_period` sexually active (also masturbation, tenderness)...",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "no_sex_reason",
      "description": "I wasn't sexually active because... <small>(multiple answers are possible)<\/small>",
      "value": "just_didnt_happen. Never came to it.,\nno_desire. I didn't feel like it.,\nno_time. I didn't have the time,\nhad_no_partner. `r ifelse(s1_demo$hetero_relationship, \"\", 'I didn't have a partner.')`,\ndidnt_see_partner. `r ifelse(s1_demo$hetero_relationship, 'Not enough time with my partner.',\"\")`,\npartner_didnt_want_to. `r ifelse(s1_demo$hetero_relationship, 'My partner didn't want to.',\"\")`,\npartner_couldnt. `r ifelse(s1_demo$hetero_relationship, 'My partner wasn't able (time, illness, ...).',\"\")`,\nno_privacy. I didn't have enough privacy.,\nno_contraception. I didn't have any contraceptives.,\ntired. I was tired.,\nfelt_gross. Ich habe mich eklig gefühlt. ,\nfelt_unattractive. I felt unattractive.,\nhad_pain. I was in pain.,\nsick. I was ill.,\nbladder_yeast_infection. I had a bladder infection or yeast fungus.,\nmenstruation. I had my period.",
      "maxValue": "tired",
      "minValue": "bladder_yeast_infection",
      "@type": "propertyValue"
    },
    {
      "name": "sex_acts",
      "description": "How often?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_time",
      "description": "When?",
      "value": "t0_yesterday_evening. yesterday evening,\nt1_before_falling_asleep. yesterday before falling asleep,\nt2_night_time. last night,\nt3_after_waking_up. after waking up,\nt4_morning. in the morning,\nt5_during_day. in the day,\nt6_evening. this evening",
      "maxValue": "t6_evening",
      "minValue": "t0_yesterday_evening",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_withwhom",
      "description": "With whom? <small>(multiple answers are possible)<\/small>",
      "value": "solo. alone,\nwith_partner. `r ifelse(s1_demo$hetero_relationship == 1, 'with partner', \"\")`,\nwith_partner_tele. `r ifelse(s1_demo$hetero_relationship == 1, 'with partner via phone/webcam', \"\")`,\nother_female. other female person,\nother_male. other male person",
      "maxValue": "with_partner_tele",
      "minValue": "other_female",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_activity",
      "description": "The sexual activity/activities involved: <small>(multiple answers are possbible)<\/small>",
      "value": "kissing. kissing,\ncuddling. cuddling etc.,\nphone_skype_sex. phone sex/ webcam sex,\nsex. intercourse (penetrative),\nmasturbation. masturbation,\nmasturbated_by_partner. stimulated from partner by hand,\nmasturbated_partner. stimulated my partner by hand,\nfellatio. stimulated my partner with my mouth,\ncunnilingus. stimulated from partner with his mouth,\nanal_sex. anal sex,\ntoys. toys (vibrator;...),\nbdsm_sub. BDSM-elements; I'm submissive (handcuffs/bonds; blindfold; spanking; etc.),\nbdsm_dom. BDSM-elements; I'm dominant (handcuffs/bonds; blindfold; spanking; etc.)",
      "maxValue": "toys",
      "minValue": "anal_sex",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_contraception",
      "description": "I used the following contraception: <small>(multiple answers are possible)<\/small>",
      "value": "long_term. long-term contraception (pill, pessary, ring, etc.),\ncondom. condom,\ncoitus_interruptus. coitus interruptus (pull-out method),\ndiaphragm. diaphragm,\nspermicide. spermicide,\ncounted_days. knew that I wasn't fertile today,\nnot_necessary. not necessary (e.g. by masturbation),\ndid_not_want. didn't want to use contraception today,\nrisked_it. risked it",
      "maxValue": "spermicide",
      "minValue": "coitus_interruptus",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_happy",
      "description": "The sexual act made me happy.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_enjoyed",
      "description": "I was sexually satisfied.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_partner_enjoyed",
      "description": "My partner was sexually satisfied.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_fantasy_partner",
      "description": "During the sexual act I thought of... <small>(multiple answers are possible)<\/small>",
      "value": "partner. `r ifelse(s1_demo$hetero_relationship, 'my partner', \"\")`,\nanother_woman_known. another woman that I know,\nanother_man_known. `r another` man that I know,\nanother_woman_media. <small>another woman (from a book, movie, media,...)<\/small>,\nanother_man_media. <small>`r another` man (from a book, movie, media,...)<\/small>,\nman_pornography. <small>man from erotic media<\/small>,\nwoman_pornography. <small>woman from erotic media<\/small>,\nnobody_in_particular. nobody specific,\nnot_concrete. nothing specific",
      "maxValue": "woman_pornography",
      "minValue": "another_man_known",
      "@type": "propertyValue"
    },
    {
      "name": "sex_1_fantasy_actions",
      "description": "I was thinking of following actions... <small>(multiple answers are possible)<\/small>",
      "value": "kissing. kissing,\ncuddling. cuddling etc.,\nphone_skype_sex. phone sex/ webcam sex,\nsex. intercourse (penetrative),\nmasturbation. masturbation,\nmasturbated_by_partner. stimulated my partner by hand,\nmasturbated_partner. stimulated from partner by hand,\nfellatio. stimulated my partner with my mouth,\ncunnilingus. stimulated from partner with his mouth,\nanal_sex. anal sex,\ntoys. toys (vibrator;...),\nbdsm_sub. BDSM-elements; I'm submissive (handcuffs/bonds; blindfold; spanking; etc.),\nbdsm_dom. BDSM-elements; I'm dominant (handcuffs/bonds; blindfold; spanking; etc.),\nnothing_particular. nothing specific",
      "maxValue": "toys",
      "minValue": "anal_sex",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_time",
      "description": "When?",
      "value": "t0_yesterday_evening. yesterday evening,\nt1_before_falling_asleep. yesterday before falling asleep,\nt2_night_time. last night,\nt3_after_waking_up. after waking up,\nt4_morning. in the morning,\nt5_during_day. in the day,\nt6_evening. this evening",
      "maxValue": "t6_evening",
      "minValue": "t0_yesterday_evening",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_withwhom",
      "description": "With whom? <small>(multiple answers are possible)<\/small>",
      "value": "solo. alone,\nwith_partner. `r ifelse(s1_demo$hetero_relationship == 1, 'with partner', \"\")`,\nwith_partner_tele. `r ifelse(s1_demo$hetero_relationship == 1, 'with partner via phone/webcam', \"\")`,\nother_female. other female person,\nother_male. other male person",
      "maxValue": "with_partner_tele",
      "minValue": "other_female",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_activity",
      "description": "The sexual activity/activities involved: <small>(multiple answers are possbible)<\/small>",
      "value": "kissing. kissing,\ncuddling. cuddling etc.,\nphone_skype_sex. phone sex/ webcam sex,\nsex. intercourse (penetrative),\nmasturbation. masturbation,\nmasturbated_by_partner. stimulated from partner by hand,\nmasturbated_partner. stimulated my partner by hand,\nfellatio. stimulated my partner with my mouth,\ncunnilingus. stimulated from partner with his mouth,\nanal_sex. anal sex,\ntoys. toys (vibrator;...),\nbdsm_sub. BDSM-elements; I'm submissive (handcuffs/bonds; blindfold; spanking; etc.),\nbdsm_dom. BDSM-elements; I'm dominant (handcuffs/bonds; blindfold; spanking; etc.)",
      "maxValue": "toys",
      "minValue": "anal_sex",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_contraception",
      "description": "I used the following contraception: <small>(multiple answers are possible)<\/small>",
      "value": "long_term. long-term contraception (pill, pessary, ring, etc.),\ncondom. condom,\ncoitus_interruptus. coitus interruptus (pull-out method),\ndiaphragm. diaphragm,\nspermicide. spermicide,\ncounted_days. knew that I wasn't fertile today,\nnot_necessary. not necessary (e.g. by masturbation),\ndid_not_want. didn't want to use contraception today,\nrisked_it. risked it",
      "maxValue": "spermicide",
      "minValue": "coitus_interruptus",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_happy",
      "description": "The sexual act made me happy.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_enjoyed",
      "description": "I was sexually satisfied.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_partner_enjoyed",
      "description": "My partner was sexually satisfied.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_fantasy_partner",
      "description": "During the sexual act I thought of... <small>(multiple answers are possible)<\/small>",
      "value": "partner. `r ifelse(s1_demo$hetero_relationship, 'my partner', \"\")`,\nanother_woman_known. another woman that I know,\nanother_man_known. `r another` man that I know,\nanother_woman_media. <small>another woman (from a book, movie, media,...)<\/small>,\nanother_man_media. <small>`r another` man (from a book, movie, media,...)<\/small>,\nman_pornography. <small>man from erotic media<\/small>,\nwoman_pornography. <small>woman from erotic media<\/small>,\nnobody_in_particular. nobody specific,\nnot_concrete. nothing specific",
      "maxValue": "woman_pornography",
      "minValue": "another_man_known",
      "@type": "propertyValue"
    },
    {
      "name": "sex_2_fantasy_actions",
      "description": "I was thinking of following actions... <small>(multiple answers are possible)<\/small>",
      "value": "kissing. kissing,\ncuddling. cuddling etc.,\nphone_skype_sex. phone sex/ webcam sex,\nsex. intercourse (penetrative),\nmasturbation. masturbation,\nmasturbated_by_partner. stimulated my partner by hand,\nmasturbated_partner. stimulated from partner by hand,\nfellatio. stimulated my partner with my mouth,\ncunnilingus. stimulated from partner with his mouth,\nanal_sex. anal sex,\ntoys. toys (vibrator;...),\nbdsm_sub. BDSM-elements; I'm submissive (handcuffs/bonds; blindfold; spanking; etc.),\nbdsm_dom. BDSM-elements; I'm dominant (handcuffs/bonds; blindfold; spanking; etc.),\nnothing_particular. nothing specific",
      "maxValue": "toys",
      "minValue": "anal_sex",
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_pain",
      "description": "I had <abbr title=\" also premenstrual\">menstruation related<\/abbr> pains.",
      "value": "0. 0: not at all,\n1. 1,\n2. 2,\n3. 3,\n4. 4: very much",
      "maxValue": 4,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "special_events_love_life",
      "description": "There were notable events concerning my love life:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_since_last_entry",
      "description": "I had menstrual bleedings `r ifelse(days_since_last_entry > 3, \"since my last diary entry\", \"in the last three days\")`. <small>(period, not intermenstrual bleeding)<\/small>",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_today",
      "description": "I had menstrual bleedings today.",
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_onset",
      "description": "Today was the first day of my period...",
      "value": "1. ja ,\n2. no (yesterday),\n3. no (the day before yesterday),\n4. no (three days ago),\n5. no (four days ago),\n6. no (five days ago),\n7. no (6 days ago),\n8. no (start dates back even longer)",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_onset_date",
      "description": "Date of the first menstrual bleeding",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "spotting",
      "description": "I had an intermenstrual bleeding today.",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "answered_honestly_today",
      "description": "__I answered everything honestly and didn't click onto answers randomly.__ <small> Being honest doesn't created a disadvantage for you (viz. we won't subtract it from your credit), but it allows us to exclude invalid data from our research.<\/small>",
      "value": "0. No\n,\n1. Yes",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "dishonest_answers",
      "description": "Would you like to tell us whether you answered all questions wrong (e.g. just clicked through all the questions randomly) or only a few (e.g. for privacy reasons)?<small>optional<\/small>",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "notes_to_us",
      "description": "I want to let the study team know the following: <small>optional<\/small>",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "grooming",
      "description": "Self-grooming (broad)",
      "@type": "propertyValue"
    },
    {
      "name": "vanity",
      "description": "Satisfied with looks",
      "@type": "propertyValue"
    },
    {
      "name": "mate_retention",
      "description": "Partner mate retention",
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire",
      "description": "In-pair desire",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire",
      "description": "Extra-pair desire",
      "@type": "propertyValue"
    },
    {
      "name": "weekday",
      "value": "1. Monday,\n2. Tuesday,\n3. Wednesday,\n4. Thursday,\n5. Friday,\n6. Saturday,\n7. Sunday",
      "@type": "propertyValue"
    },
    {
      "name": "weekend",
      "@type": "propertyValue"
    },
    {
      "name": "sleep_duration",
      "@type": "propertyValue"
    },
    {
      "name": "first_diary_day",
      "@type": "propertyValue"
    },
    {
      "name": "progesterone_mean",
      "@type": "propertyValue"
    },
    {
      "name": "progesterone_diff",
      "@type": "propertyValue"
    },
    {
      "name": "progesterone_log_mean",
      "@type": "propertyValue"
    },
    {
      "name": "progesterone_log_diff",
      "@type": "propertyValue"
    },
    {
      "name": "estradiol_mean",
      "@type": "propertyValue"
    },
    {
      "name": "estradiol_diff",
      "@type": "propertyValue"
    },
    {
      "name": "estradiol_log_mean",
      "@type": "propertyValue"
    },
    {
      "name": "estradiol_log_diff",
      "@type": "propertyValue"
    },
    {
      "name": "ibl_estradiol_mean",
      "@type": "propertyValue"
    },
    {
      "name": "ibl_estradiol_diff",
      "@type": "propertyValue"
    },
    {
      "name": "ibl_estradiol_log_mean",
      "@type": "propertyValue"
    },
    {
      "name": "ibl_estradiol_log_diff",
      "@type": "propertyValue"
    },
    {
      "name": "testosterone_mean",
      "@type": "propertyValue"
    },
    {
      "name": "testosterone_diff",
      "@type": "propertyValue"
    },
    {
      "name": "testosterone_log_mean",
      "@type": "propertyValue"
    },
    {
      "name": "testosterone_log_diff",
      "@type": "propertyValue"
    },
    {
      "name": "cortisol_mean",
      "@type": "propertyValue"
    },
    {
      "name": "cortisol_diff",
      "@type": "propertyValue"
    },
    {
      "name": "cortisol_log_mean",
      "@type": "propertyValue"
    },
    {
      "name": "cortisol_log_diff",
      "@type": "propertyValue"
    },
    {
      "name": "window_length",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_awareness",
      "@type": "propertyValue"
    },
    {
      "name": "diary_day_observation",
      "@type": "propertyValue"
    },
    {
      "name": "next_menstrual_onset",
      "@type": "propertyValue"
    },
    {
      "name": "last_menstrual_onset",
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_onset_days_until",
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_onset_days_since",
      "@type": "propertyValue"
    },
    {
      "name": "date_origin",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_labelled",
      "value": "1. yes,\n2. probably,\n3. no",
      "@type": "propertyValue"
    },
    {
      "name": "next_menstrual_onset_if_no_last",
      "@type": "propertyValue"
    },
    {
      "name": "day_number",
      "@type": "propertyValue"
    },
    {
      "name": "number_of_cycles",
      "@type": "propertyValue"
    },
    {
      "name": "cycle_nr",
      "@type": "propertyValue"
    },
    {
      "name": "cycle_length",
      "@type": "propertyValue"
    },
    {
      "name": "cycle_nr_fully_observed",
      "@type": "propertyValue"
    },
    {
      "name": "mean_cycle_length_diary",
      "@type": "propertyValue"
    },
    {
      "name": "median_cycle_length_diary",
      "@type": "propertyValue"
    },
    {
      "name": "next_menstrual_onset_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "luteal_BC",
      "@type": "propertyValue"
    },
    {
      "name": "follicular_FC",
      "@type": "propertyValue"
    },
    {
      "name": "day_lh_surge",
      "@type": "propertyValue"
    },
    {
      "name": "day_of_ovulation",
      "@type": "propertyValue"
    },
    {
      "name": "day_of_ovulation_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "day_of_ovulation_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_BC",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_LH",
      "@type": "propertyValue"
    },
    {
      "name": "DRLH",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_awareness_nr",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_awareness",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_avg_follicular",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_avg_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "date_of_ovulation_avg_luteal_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "FCD",
      "@type": "propertyValue"
    },
    {
      "name": "RCD",
      "@type": "propertyValue"
    },
    {
      "name": "DAL",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_squished",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_squished_rounded",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_rel_to_ovulation",
      "@type": "propertyValue"
    },
    {
      "name": "RCD_fab",
      "@type": "propertyValue"
    },
    {
      "name": "conception_risk_lh",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_lh",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b_squished",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window_squished",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_squished",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window_inferred_squished",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_inferred_squished",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window_forward_counted",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_forward_counted",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b_aware_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b_aware_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow_aware_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad_aware_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window_aware_luteal",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_aware_luteal",
      "@type": "propertyValue"
    },
    {
      "name": "prc_stirn_b_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "prc_wcx_b_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_narrow_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_broad_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_window_inferred",
      "value": "1. infertile,\n2. broad,\n3. narrow",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_inferred",
      "@type": "propertyValue"
    },
    {
      "name": "fertile_fab",
      "description": "Est. fertile window prob. (BC+i)",
      "@type": "propertyValue"
    },
    {
      "name": "premenstrual_phase_fab",
      "description": "Est. premenstrual phase (BC+i)",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation_imputed",
      "@type": "propertyValue"
    },
    {
      "name": "menstruation",
      "description": "Est. menstruation",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_desire_and_behaviour",
      "description": "Extra-pair desire and behaviour",
      "@type": "propertyValue"
    },
    {
      "name": "extra_pair_interest",
      "description": "Extra-pair interest",
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_desire_and_behaviour",
      "description": "In-pair desire and behaviour",
      "@type": "propertyValue"
    },
    {
      "name": "in_pair_interest",
      "description": "In-pair interest",
      "@type": "propertyValue"
    },
    {
      "name": "grooming_broad",
      "description": "4 grooming items aggregated by robust_rowmeans",
      "@type": "propertyValue"
    },
    {
      "name": "saw_partner",
      "@type": "propertyValue"
    },
    {
      "name": "last_saw_partner_date",
      "@type": "propertyValue"
    },
    {
      "name": "days_since_seeing_partner",
      "@type": "propertyValue"
    },
    {
      "name": "time_since_seeing_partner",
      "@type": "propertyValue"
    }
  ]
}`

Time spent

Single participants answered questions about who they spent time with and/or thought about during the diary. We asked them questions about commonly mentioned names after the end of the diary.

Metadata

Description

Dataset name: s4_timespent

The dataset has N=2337 rows and 30 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session created modified ended expired person_nr person person_remember person_sex person_sex_other person_age person_relationship_status person_relationship_to_anchor person_kinship person_romantic_experience person_height person_weight person_attractiveness_short_term person_attractiveness_long_term person_attractive_body person_kindness person_education person_extraversion person_dominance person_strength person_financial person_faithful person_funny person_notes short

Survey overview

2331 completed rows, 2333 who entered any information, 4 only viewed the first page. There are 0 expired rows (people who did not finish filling out in the requested time frame). In total, there are 2337 rows including unfinished and expired rows.

There were 355 unique participants, of which 349 finished filling out at least one survey.

This survey was repeated many times, on average 6.58 times per user.

Number of sessions

The first session started on 2016-07-12 17:21:47, the last session on 2017-04-13 13:39:40.

Starting date times

People took on average 225.86 minutes (median 0.78) to answer the survey.

Duration people took for answering the survey

#Variables

person_nr

Distribution

Distribution of values for person_nr

0 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
person_nr		calculate	character	0		nrow(s4_timespent)	1	0	1	10	0	1	2	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	person_nr		0		nrow(s4_timespent)	1

Value labels

Response choices

name	value

person

Distribution

Distribution of values for person

92 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
person		calculate	character	0		person_names = plyr::count(stringr::str_trim(stringr::str_split(paste(na.omit(c(s3_daily\(social_life_saw_people, s3_daily\)social_life_thought_about)), collapse = “,”), “,”)[[1]])) person_names = person_names[order(person_names$freq), ] tail(person_names[person_names$freq > 3, ‘x’], 10)person_nr	2	92	0.9606	1391	0	1	52	0

Item

Item options

type	name	label	optional	showif	value	item_order
calculate	person		0		person_names = plyr::count(stringr::str_trim(stringr::str_split(paste(na.omit(c(s3_daily\(social_life_saw_people, s3_daily\)social_life_thought_about)), collapse = “,”), “,”)[[1]])) person_names = person_names[order(person_names$freq), ] tail(person_names[person_names$freq > 3, ‘x’], 10)person_nr	2

Value labels

Response choices

name	value

person_remember

I still remember who I meant by “r person” in the diary.

Distribution

Distribution of values for person_remember

6 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_remember	I still remember who I meant by “r person” in the diary.	haven_labelled	6	0.9974	0	1	1	0.9108	0.2851	3	▁▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

person_sex

Gender of r person:

Distribution

Distribution of values for person_sex

216 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_sex	Gender of r person:	haven_labelled	216	0.9076	1	1	3	1.528	0.6334	5	▇▁▁▆▁▁▁▁

Missing value types

Plot of missing values for person_sex

Value labels

Response choices

name	value
female	1
male	2
other	3
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_sex_other

Other:

Distribution

Distribution of values for person_sex_other

2174 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
person_sex_other	Other:	text	character	0	person_sex == 3 //js_only		104	2174	0.0697	90	0	1	117	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	person_sex_other	Andere:	0	person_sex == 3 //js_only		104

Value labels

Response choices

name	value

person_age

Age of __ r person__:

Distribution

Distribution of values for person_age

216 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for person_age

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,110,1	person_age	Alter von r person:	0	person_remember == 1 //js_only		105

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_relationship_status

Relationship status of __ r person__:

Distribution

Distribution of values for person_relationship_status

216 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
person_relationship_status	Relationship status of __ r person__:	haven_labelled	216	0.9076	6	0	6	NA	14	0	6

Value labels

Response choices

name	value
1	single
2	partnered
3	engaged
4	married
5	unclear_status
6	dont_know

person_relationship_to_anchor

Where do you stand with r person?

Distribution

Distribution of values for person_relationship_to_anchor

216 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
person_relationship_to_anchor	Where do you stand with r person?	haven_labelled	216	0.9076	7	0	6	NA	32	0	7

Value labels

Response choices

name	value
1	loose_acquaintance
2	acquaintance
3	friend
4	biological_relative
5	nonbiological_relative
6	romantic_short_term_relationship
7	romantic_long_term_relationship

person_kinship

How are you related to r person__?

Distribution

Distribution of values for person_kinship

1896 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
person_kinship	How are you related to r person__?	haven_labelled	1896	0.1887	25	0	3	NA	25	0	11

Value labels

Response choices

name	value
1	mother
2	father
3	brother
4	sister
5	aunt
6	uncle
7	cousin
8	daughter
9	son
10	nephew
11	niece

person_romantic_experience

Did r person and you ever have a romantic or sexual experience with one another? <small>Please choose the most accurate answer.</small>

Distribution

Distribution of values for person_romantic_experience

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
person_romantic_experience	Did r person and you ever have a romantic or sexual experience with one another? <small>Please choose the most accurate answer.</small>	haven_labelled	1673	0.2841	5	0	3	NA	8	0	5

Value labels

Response choices

name	value
1	none
2	flirt
3	date
4	make_out
5	sex

person_height

What is the approximate height of r person in cm (without shoes)?

Distribution

Distribution of values for person_height

1673 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for person_height

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	80,230	person_height	Was ist die ungefähre Körpergröße von r person in cm (ohne Schuhe)?	0	person_sex == 2 & person_relationship_to_anchor != “biological_relative” //js_only		110

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_weight

What is the approximate weight of r person in kg (without clothing)?

Distribution

Distribution of values for person_weight

1673 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for person_weight

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	40,200	person_weight	Was ist das ungefähre Gewicht von r person in kg (ohne Kleidung)?	0	person_sex == 2 & person_relationship_to_anchor != “biological_relative” //js_only		111

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_attractiveness_short_term

I find r person attractive for a One-Night-Stand or a short sexual affair with me.

Distribution

Distribution of values for person_attractiveness_short_term

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_attractiveness_short_term	I find r person attractive for a One-Night-Stand or a short sexual affair with me.	haven_labelled	1673	0.2841	1	2	5	2.666	1.608	7	▇▃▁▂▁▃▁▅

Missing value types

Plot of missing values for person_attractiveness_short_term

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_attractiveness_long_term

I find r person attractive for a long-term relationship (committed partnership, marriage,..) with me.

Distribution

Distribution of values for person_attractiveness_long_term

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_attractiveness_long_term	I find r person attractive for a long-term relationship (committed partnership, marriage,..) with me.	haven_labelled	1673	0.2841	1	2	5	2.634	1.508	7	▇▅▁▃▁▃▁▅

Missing value types

Plot of missing values for person_attractiveness_long_term

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_attractive_body

r person has an attractive body and face.

Distribution

Distribution of values for person_attractive_body

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_attractive_body	r person has an attractive body and face.	haven_labelled	1673	0.2841	1	4	5	3.569	1.215	7	▂▃▁▇▁▇▁▇

Missing value types

Plot of missing values for person_attractive_body

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_kindness

r person is warm-hearted, a good person.

Distribution

Distribution of values for person_kindness

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_kindness	r person is warm-hearted, a good person.	haven_labelled	1673	0.2841	1	4	5	4.175	0.9351	7	▁▁▁▂▁▆▁▇

Missing value types

Plot of missing values for person_kindness

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_education

__r personist educated, was good in school/university.

Distribution

Distribution of values for person_education

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_education	__r personist educated, was good in school/university.	haven_labelled	1673	0.2841	1	4	5	4.029	0.9981	7	▁▁▁▅▁▆▁▇

Missing value types

Plot of missing values for person_education

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_extraversion

r person is sociable, likes being with other people.

Distribution

Distribution of values for person_extraversion

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_extraversion	r person is sociable, likes being with other people.	haven_labelled	1673	0.2841	1	4	5	4.008	1.031	7	▁▂▁▃▁▆▁▇

Missing value types

Plot of missing values for person_extraversion

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_dominance

r person is dominant.

Distribution

Distribution of values for person_dominance

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_dominance	r person is dominant.	haven_labelled	1673	0.2841	1	3	5	2.827	1.19	7	▅▇▁▇▁▆▁▂

Missing value types

Plot of missing values for person_dominance

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_strength

r person is physically stronger than many other men.

Distribution

Distribution of values for person_strength

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_strength	r person is physically stronger than many other men.	haven_labelled	1673	0.2841	1	3	5	2.952	1.118	7	▂▆▁▇▁▅▁▂

Missing value types

Plot of missing values for person_strength

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_financial

r person earns good money or will one day earn good money.

Distribution

Distribution of values for person_financial

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_financial	r person earns good money or will one day earn good money.	haven_labelled	1673	0.2841	1	4	5	3.532	1.087	7	▁▃▁▇▁▇▁▆

Missing value types

Plot of missing values for person_financial

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_faithful

r person would be faithful in a relationship.

Distribution

Distribution of values for person_faithful

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_faithful	r person would be faithful in a relationship.	haven_labelled	1673	0.2841	1	4	5	4.062	1.123	7	▁▁▁▃▁▃▁▇

Missing value types

Plot of missing values for person_faithful

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_funny

r person is funny, entertaining.

Distribution

Distribution of values for person_funny

1673 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
person_funny	r person is funny, entertaining.	haven_labelled	1673	0.2841	1	4	5	4.127	0.8817	7	▁▁▁▃▁▇▁▇

Missing value types

Plot of missing values for person_funny

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

person_notes

We tried to keep it short. Do you have any remarks concerning r person, which our questions didn’t capture or didn’t capture well?

Distribution

Distribution of values for person_notes

1734 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
person_notes	We tried to keep it short. Do you have any remarks concerning r person, which our questions didn’t capture or didn’t capture well?	textarea	character	1	person_remember == 1 //js_only		149	1734	0.258	559	0	2	678	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	person_notes	Wir haben versucht, es kurz zu halten. Haben Sie noch Anmerkungen zu r person, die durch unsere Fragen nicht oder nicht gut erfasst wurden?	1	person_remember == 1 //js_only		149

Value labels

Response choices

name	value

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	355	0	7	7	0	NA

Missingness report

## # A tibble: 13 x 29
##    description modified ended person_remember person person_sex person_age person_relation… person_relation…
##    <chr>          <dbl> <dbl>           <dbl>  <dbl>      <dbl>      <dbl>            <dbl>            <dbl>
##  1 Missing va…        4     6               6     92        216        216              216              216
##  2 Missing va…        1     1               1      1          1          1                1                1
##  3 Missing va…        1     1               1      1          1          1                1                1
##  4 Missing va…        1     1               1      1          1          1                1                1
##  5 Missing va…        1     1               1      1          1          1                1                1
##  6 Missing va…        1     1               1      1          1          1                1                1
##  7 Missing va…        1     1               1      1          0          0                0                0
##  8 Missing va…        1     1               1      0          0          0                0                0
##  9 Missing va…        1     1               1      1          1          1                1                1
## 10 Missing va…        1     1               1      1          1          1                1                1
## 11 Missing va…        1     1               1      1          1          1                1                1
## 12 Missing va…        1     1               1      1          1          1                1                1
## 13 10 other, …        9     8               8      6          7          7                7                7
## # … with 20 more variables: person_romantic_experience <dbl>, person_height <dbl>, person_weight <dbl>,
## #   person_attractiveness_short_term <dbl>, person_attractiveness_long_term <dbl>,
## #   person_attractive_body <dbl>, person_kindness <dbl>, person_education <dbl>, person_extraversion <dbl>,
## #   person_dominance <dbl>, person_strength <dbl>, person_financial <dbl>, person_faithful <dbl>,
## #   person_funny <dbl>, person_notes <dbl>, person_kinship <dbl>, person_sex_other <dbl>, expired <dbl>,
## #   var_miss <dbl>, n_miss <dbl>

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "s4_timespent",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=2337 rows and 30 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "created", "modified", "ended", "expired", "person_nr", "person", "person_remember", "person_sex", "person_sex_other", "person_age", "person_relationship_status", "person_relationship_to_anchor", "person_kinship", "person_romantic_experience", "person_height", "person_weight", "person_attractiveness_short_term", "person_attractiveness_long_term", "person_attractive_body", "person_kindness", "person_education", "person_extraversion", "person_dominance", "person_strength", "person_financial", "person_faithful", "person_funny", "person_notes", "short"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "person_nr",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person",
      "description": "",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person_remember",
      "description": "I still remember who I meant by \"__`r person`__\" in the diary.",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "person_sex",
      "description": "Gender of __`r person`__:",
      "value": "1. female,\n2. male,\n3. other,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 3,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_sex_other",
      "description": "Other:",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person_age",
      "description": "Age of __ `r person`__:",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person_relationship_status",
      "description": "Relationship status of __ `r person`__:",
      "value": "single. single,\npartnered. in a committed relationship,\nengaged. engaged,\nmarried. married,\nunclear_status. unclear status,\ndont_know. I don't know",
      "maxValue": "unclear_status",
      "minValue": "dont_know",
      "@type": "propertyValue"
    },
    {
      "name": "person_relationship_to_anchor",
      "description": "Where do you stand with  __`r person`__?",
      "value": "loose_acquaintance. Know each other by sight,\nacquaintance. acquaintances,\nfriend. friends,\nbiological_relative. biologically related (e.g. mother),\nnonbiological_relative. nonbiologically related (e.g. stepsister, adoptive mother, related by marriage),\nromantic_short_term_relationship. have a short-term, romantic relationship,\nromantic_long_term_relationship. have a long-term, romantic relationship",
      "maxValue": "romantic_short_term_relationship",
      "minValue": "acquaintance",
      "@type": "propertyValue"
    },
    {
      "name": "person_kinship",
      "description": "How are you related to `r person`__?",
      "value": "mother. mother,\nfather. father,\nbrother. brother,\nsister. sister,\naunt. aunt,\nuncle. uncle,\ncousin. cousin,\ndaughter. daughter,\nson. son,\nnephew. nephew,\nniece. niece",
      "maxValue": "uncle",
      "minValue": "aunt",
      "@type": "propertyValue"
    },
    {
      "name": "person_romantic_experience",
      "description": "Did __`r person`__ and you ever have a romantic or sexual experience with one another? <small>Please choose the most accurate answer.<\/small>",
      "value": "none. none,\nflirt. yes, a flirt,\ndate. yes, one/a number of dates or something similar,\nmake_out. yes, sexual actions (e.g. kissing),\nsex. yes, sex",
      "maxValue": "sex",
      "minValue": "date",
      "@type": "propertyValue"
    },
    {
      "name": "person_height",
      "description": "What is the approximate height of __`r person`__ in cm (without shoes)?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person_weight",
      "description": "What is the approximate weight of __`r person`__ in kg (without clothing)?",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "person_attractiveness_short_term",
      "description": "I find __`r person`__  attractive for a One-Night-Stand or a short sexual affair with me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_attractiveness_long_term",
      "description": "I find __`r person`__ attractive for a long-term relationship (committed partnership, marriage,..) with me.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_attractive_body",
      "description": "__`r person`__ has an attractive body and face.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_kindness",
      "description": "__`r person`__ is warm-hearted, a good person.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_education",
      "description": "__`r person`ist educated, was good in school/university.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_extraversion",
      "description": "__`r person`__ is sociable, likes being with other people.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_dominance",
      "description": "__`r person`__ is dominant.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_strength",
      "description": "__`r person`__ is physically stronger than many other men.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_financial",
      "description": "__`r person`__ earns good money or will one day earn good money.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_faithful",
      "description": "__`r person`__ would be faithful in a relationship.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_funny",
      "description": "__`r person`__ is funny, entertaining.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "person_notes",
      "description": "We tried to keep it short. Do you have any remarks concerning __`r person`__, which our questions didn't capture or didn't capture well?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    }
  ]
}`

Follow-up survey

At the end of the diary, participants were debriefed and answered these follow-up questions.

Metadata

Description

Dataset name: s4_followup

The dataset has N=1171 rows and 45 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session created modified ended expired hypothesis_guess wont_leak medication medication_name special_days honest_answers honest_answers_name illness illness_name breakup new_relationship change_contraception change_contraception_to aware_fertile_phases_number aware_fertile_1_start aware_fertile_1_end aware_fertile_2_start aware_fertile_2_end aware_fertile_3_start aware_fertile_3_end aware_fertile_reason_unusual follicular_phase_length follicular_phase_length_certainty luteal_phase_length luteal_phase_length_certainty aware_mittelschmerz aware_cycle_changes aware_cycle_changes_mens aware_cycle_changes_ovulation aware_fertile_effects let_hormones_affect_behavior1R let_hormones_affect_behavior2 let_mens_affect_behavior hormones_may_affect_me1 hormones_may_affect_me2R feedback_for_us want_more_info let_hormones_affect_behavior hormones_may_affect_me short

Survey overview

1140 completed rows, 1167 who entered any information, 4 only viewed the first page. There are 23 expired rows (people who did not finish filling out in the requested time frame). In total, there are 1171 rows including unfinished and expired rows.

There were 1171 unique participants, of which 1140 finished filling out at least one survey.

This survey was not repeated.

The first session started on 2016-07-12 01:07:06, the last session on 2017-04-13 14:25:39.

Starting date times

People took on average 1395.71 minutes (median 8.27) to answer the survey.

Duration people took for answering the survey

#Variables

hypothesis_guess

follow-up questionnaire

                                                                                                                                                             What do you believe this study was mainly about?

If you do not have a hunch or have now thought about this for the first time, just leave this box blank. You can gladly leave us further comments later.

Distribution

Distribution of values for hypothesis_guess

633 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
hypothesis_guess	## follow-up questionnaire What do you believe this study was mainly about? If you do not have a hunch or have now thought about this for the first time, just leave this box blank. You can gladly leave us further comments later.	textarea	character	1			1	633	0.4594	537	0	1	1726	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	hypothesis_guess	Abschlussfragebogen Worum glauben Sie ging es in dieser Studie hauptsächlich? Wenn Sie keinen Verdacht haben oder jetzt zum ersten Mal darüber nachdenken, lassen sie dieses Feld einfach leer. Sie können uns später gern noch weitere Kommentare hinterlassen.	1			1

Value labels

Response choices

name	value

wont_leak

Distribution

Distribution of values for wont_leak

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
wont_leak		haven_labelled	31	0.9735	0	1	1	0.9851	0.1213	3	▁▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

medication

Have you taken any madicinal products in the last month?

Distribution

Distribution of values for medication

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
medication	Have you taken any madicinal products in the last month?	haven_labelled	31	0.9735	0	0	1	0.4763	0.4997	3	▇▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

medication_name

If you have, please name the preperation or preperations.

Distribution

Distribution of values for medication_name

628 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
medication_name	If you have, please name the preperation or preperations.	character	628	0.4637	450	0	3	200	0

special_days

Did any special or extraordinary eventy occur within the period of time of the study which we should know about, in order to categorize your relationship dynamics and other statements properly?

Distribution

Distribution of values for special_days

506 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
special_days	Did any special or extraordinary eventy occur within the period of time of the study which we should know about, in order to categorize your relationship dynamics and other statements properly?	textarea	character	1			7	506	0.5679	568	0	1	1293	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	special_days	Gab es innerhalb des Zeitraums der Studie besondere oder außergewöhnliche Ereignisse, die wir wissen sollten um Ihre Beziehungsdynamiken und anderen Angaben richtig einzuordnen?	1			7

Value labels

Response choices

name	value

honest_answers

Did you answer all the questions of this study (includingthe pre- and daily questionnaire) truthfully (as best you could)? You will not suffer any negative consequences concering your payment or the raffle by negating this question.

Distribution

Distribution of values for honest_answers

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
honest_answers	Did you answer all the questions of this study (includingthe pre- and daily questionnaire) truthfully (as best you could)? You will not suffer any negative consequences concering your payment or the raffle by negating this question.	haven_labelled	31	0.9735	0	1	1	0.9965	0.0592	3	▁▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

honest_answers_name

If you didn’t, please describe which questions you didn’t answer truthfully, if possible.

Distribution

Distribution of values for honest_answers_name

1167 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
honest_answers_name	If you didn’t, please describe which questions you didn’t answer truthfully, if possible.	textarea	character	0	honest_answers ==0		9	1167	0.0034	4	0	60	484	0

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	honest_answers_name	Wenn nein, beschreiben Sie bitte bei welchen Fragen Sie nicht ehrlich geantwortet haben, falls möglich.	0	honest_answers ==0		9

Value labels

Response choices

name	value

illness

Have you been sick in the last month?

Distribution

Distribution of values for illness

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
illness	Have you been sick in the last month?	haven_labelled	31	0.9735	0	0	1	0.4553	0.4982	3	▇▁▁▁▁▁▁▇

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

illness_name

If you have, what did you suffer from?

Distribution

Distribution of values for illness_name

652 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
illness_name	If you have, what did you suffer from?	text	character	0	illness == 1		11	652	0.4432	289	0	3	256	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	illness_name	Wenn ja, woran litten Sie?	0	illness == 1		11

Value labels

Response choices

name	value

breakup

Did you break up with your partner in the last month?

Distribution

Distribution of values for breakup

416 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
breakup	Did you break up with your partner in the last month?	haven_labelled	416	0.6447	0	0	1	0.0742	0.2622	4	▇▁▁▁▁▁▁▁

Missing value types

Plot of missing values for breakup

Value labels

Response choices

name	value
No	0
Yes	1
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

new_relationship

Did you enter into a new partnership in the last month?

Distribution

Distribution of values for new_relationship

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
new_relationship	Did you enter into a new partnership in the last month?	haven_labelled	31	0.9735	0	0	1	0.0632	0.2434	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

change_contraception

Have you changed your method of contraception in the last month?

Distribution

Distribution of values for change_contraception

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
change_contraception	Have you changed your method of contraception in the last month?	haven_labelled	31	0.9735	0	0	1	0.0333	0.1796	3	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
No	0
Yes	1
Item was never rendered for this user.	NA

change_contraception_to

Which method of contraception do you use now?

Distribution

Distribution of values for change_contraception_to

1133 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
change_contraception_to	Which method of contraception do you use now?	text	character	0	change_contraception == 1		15	1133	0.0325	31	0	5	126	0

Item

Item options

type	name	label	optional	showif	value	item_order
text	change_contraception_to	Welche Verhütungsmethode verwenden Sie nun?	0	change_contraception == 1		15

Value labels

Response choices

name	value

aware_fertile_phases_number

How many fertile phases or “windows” did you observe during the time period of the study? <small>You stated that you use a form of contraception in which you watch your fertile phases or that you use a cycle app.</small>

Distribution

Distribution of values for aware_fertile_phases_number

801 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for aware_fertile_phases_number

Item

Item options

type	type_options	name	label	optional	showif	value	item_order
number	0,6,1	aware_fertile_phases_number	Wieviele fruchtbare Phasen oder “Fenster” haben Sie bei sich während des Studienzeitraums beobachtet? <small>Sie hatten angegeben, dass Sie eine Verhütungsmethode benutzen, bei der Sie auf Ihre fruchtbare Phase achten oder dass Sie eine Zyklus-App benutzen.</small>	0	s1_demo\(contraception_method %contains% "awareness" | s1_demo\)contraception_app == 1		16

Value labels

Response choices

name	value
Item was not shown to this user.	NA
Item was never rendered for this user.	NA

aware_fertile_1_start

First window: from

Distribution

## 159  unique, categorical values, so not shown.

867 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_1_start	First window: from	date	-3months,now	Date	0	aware_fertile_phases_number > 0		17	left200 right300 align_horizontally	867	0.2596	159	2016-04-17	2016-09-15	2017-01-27

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_1_start	Erstes Fenster: von	0	left200 right300 align_horizontally	aware_fertile_phases_number > 0		17

Value labels

Response choices

name	value

aware_fertile_1_end

to

Distribution

## 161  unique, categorical values, so not shown.

867 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_1_end	to	date	-3months,now	Date	0	aware_fertile_phases_number > 0		18	left50 right300 align_horizontally	867	0.2596	161	2016-04-23	2016-09-24	2017-02-21

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_1_end	bis	0	left50 right300 align_horizontally	aware_fertile_phases_number > 0		18

Value labels

Response choices

name	value

aware_fertile_2_start

Second window: from

Distribution

## 158  unique, categorical values, so not shown.

881 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_2_start	Second window: from	date	-3months,now	Date	0	aware_fertile_phases_number > 1		20	left200 right300 align_horizontally	881	0.2477	158	2016-05-16	2016-10-13	2017-02-28

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_2_start	Zweites Fenster: von	0	left200 right300 align_horizontally	aware_fertile_phases_number > 1		20

Value labels

Response choices

name	value

aware_fertile_2_end

to

Distribution

## 150  unique, categorical values, so not shown.

881 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_2_end	to	date	-3months,now	Date	0	aware_fertile_phases_number > 1		21	left50 right300 align_horizontally	881	0.2477	150	2016-05-24	2016-10-18	2017-03-05

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_2_end	bis	0	left50 right300 align_horizontally	aware_fertile_phases_number > 1		21

Value labels

Response choices

name	value

aware_fertile_3_start

Third window: from

Distribution

## 114  unique, categorical values, so not shown.

1013 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_3_start	Third window: from	date	-3months,now	Date	0	aware_fertile_phases_number > 2		23	left200 right300 align_horizontally	1013	0.1349	114	2016-06-15	2016-11-03	2017-03-13

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_3_start	Drittes Fenster: von	0	left200 right300 align_horizontally	aware_fertile_phases_number > 2		23

Value labels

Response choices

name	value

aware_fertile_3_end

to

Distribution

## 114  unique, categorical values, so not shown.

1013 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	min	median	max
aware_fertile_3_end	to	date	-3months,now	Date	0	aware_fertile_phases_number > 2		24	left50 right300 align_horizontally	1013	0.1349	114	2016-06-19	2016-11-06	2017-03-19

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
date	-3months,now	aware_fertile_3_end	bis	0	left50 right300 align_horizontally	aware_fertile_phases_number > 2		24

Value labels

Response choices

name	value

aware_fertile_reason_unusual

You stated having observed less than two or more than 3 fertile windows within the 70 days of this diary. That is rather unusual for a time period of 70 days and some days are aware of the reasons for this occurance. If you know the reason, please explain it here.

Distribution

Distribution of values for aware_fertile_reason_unusual

1085 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	class	n_missing	complete_rate	n_unique	empty	min	max	whitespace
aware_fertile_reason_unusual	You stated having observed less than two or more than 3 fertile windows within the 70 days of this diary. That is rather unusual for a time period of 70 days and some days are aware of the reasons for this occurance. If you know the reason, please explain it here.	textarea	character	0	aware_fertile_phases_number !== "" && (aware_fertile_phases_number > 3 || aware_fertile_phases_number < 2) //js_only		26	align_horizontally left300 right400	1085	0.0734	84	0	1	1490	0

Item

Item options

type	name	label	optional	class	showif	value	item_order
textarea	aware_fertile_reason_unusual	Sie haben angegeben weniger als 2 oder mehr als 3 fruchtbare Fenster in den 70 Tagen des Tagebuchs beobachtet zu haben. Das ist über einen Zeitraum von 70 Tagen eher ungewöhnlich, und manche Frauen sind sich der Gründe dafür bewusst. Wenn Sie den Grund genauer kennen, können Sie ihn hier erläutern.	0	align_horizontally left300 right400	aware_fertile_phases_number !== "" && (aware_fertile_phases_number > 3 || aware_fertile_phases_number < 2) //js_only		26

Value labels

Response choices

name	value

follicular_phase_length

How long is the duration of your follicular phase (1st half of your cycle: maturation phase of the follicle, ends with ovulation; mostly between 12-21 days)? If you cannot make a statement you can leave this box blank.

Distribution

Distribution of values for follicular_phase_length

971 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for follicular_phase_length

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
number	7,50,1	follicular_phase_length	Wie lange dauert Ihre Follikelphase (1. Zyklushälfte: Reifungsphase der Eibläschen, endet mit dem Eisprung; meist zwischen 12-21 Tagen)? Falls Sie dazu keine Angaben machen können, lassen Sie dieses Feld bitte frei.	1	left300 right150	s1_demo\(contraception_method %contains% "awareness" | s1_demo\)contraception_app == 1		28

Value labels

Response choices

name	value
Item was not shown to this user.	NA
User skipped this item.	NA
Item was never rendered for this user.	NA

follicular_phase_length_certainty

How sure are you about this statement?

Distribution

Distribution of values for follicular_phase_length_certainty

922 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
follicular_phase_length_certainty	How sure are you about this statement?	haven_labelled	922	0.2126	1	3	8	4.165	2.279	11	▁▅▇▅▁▁▁▆

Missing value types

Plot of missing values for follicular_phase_length_certainty

Value labels

Response choices

name	value
NA	1
NA	2
NA	3
NA	4
NA	5
NA	6
NA	7
NA	8
Item was not shown to this user.	NA
User skipped this item.	NA
Item was never rendered for this user.	NA

luteal_phase_length

How long is the duration of your luteal phase (2nd half of your cycle: corpus luteum phase, begins with ovulation; mostly between 12-16 days)? If you cannot make a statement, you can leave this box blank.

Distribution

Distribution of values for luteal_phase_length

983 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Missing value types

Plot of missing values for luteal_phase_length

Item

Item options

type	type_options	name	label	optional	class	showif	value	item_order
number	7,50,1	luteal_phase_length	Wie lange dauert Ihre Lutealphase (2. Zyklushälfte: Gelbkörperphase, beginnt mit dem Eisprung; meist zwischen 12-16 Tagen)? Falls Sie dazu keine Angaben machen können, lassen Sie dieses Feld bitte frei.	1	right150 left300	s1_demo\(contraception_method %contains% "awareness" | s1_demo\)contraception_app == 1		30

Value labels

Response choices

name	value
Item was not shown to this user.	NA
User skipped this item.	NA
Item was never rendered for this user.	NA

luteal_phase_length_certainty

How sure are you about this statement?

Distribution

Distribution of values for luteal_phase_length_certainty

940 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
luteal_phase_length_certainty	How sure are you about this statement?	haven_labelled	940	0.1973	1	3	8	4.13	2.326	11	▁▅▇▃▁▁▁▆

Missing value types

Plot of missing values for luteal_phase_length_certainty

Value labels

Response choices

name	value
NA	1
NA	2
NA	3
NA	4
NA	5
NA	6
NA	7
NA	8
Item was not shown to this user.	NA
User skipped this item.	NA
Item was never rendered for this user.	NA

aware_mittelschmerz

Do you experience ‘Mittelschmerz’, which is a pain in your lower abdomen, which occurs in the middle of your cycle for ovulation, and normally lasts for a few hours up to a few days?

Distribution

Distribution of values for aware_mittelschmerz

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	median	max	whitespace	n_value_labels
aware_mittelschmerz	Do you experience ‘Mittelschmerz’, which is a pain in your lower abdomen, which occurs in the middle of your cycle for ovulation, and normally lasts for a few hours up to a few days?	haven_labelled	31	0.9735	7	0	8	NA	19	0	7

Value labels

Response choices

name	value
1	1_every_cycle
2	2_every_other_cycle
3	3_sometimes
4	4_rarely
5	5_no_almost_never
6	6_no_not_sure
7	7_no_never

aware_cycle_changes

I experience hormone fluctuations in my cycle.

Distribution

Distribution of values for aware_cycle_changes

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
aware_cycle_changes	I experience hormone fluctuations in my cycle.	haven_labelled	31	0.9735	1	3	5	3.197	1.267	6	▃▅▁▇▁▇▁▅

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

aware_cycle_changes_mens

I notice hormone changes before and/or during menstruation.

Distribution

Distribution of values for aware_cycle_changes_mens

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
aware_cycle_changes_mens	I notice hormone changes before and/or during menstruation.	haven_labelled	31	0.9735	1	4	5	3.516	1.323	6	▃▃▁▅▁▇▁▇

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

aware_cycle_changes_ovulation

I notice hormone changes in the middle of my cycle, when I am fertile.

Distribution

Distribution of values for aware_cycle_changes_ovulation

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
aware_cycle_changes_ovulation	I notice hormone changes in the middle of my cycle, when I am fertile.	haven_labelled	31	0.9735	1	2	5	2.497	1.418	6	▇▅▁▃▁▃▁▃

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

aware_fertile_effects

You notive psychological or physiological changes about yourself, when you are fertile or generally over the course of your cycle. Can you describe these changes ?

Distribution

Distribution of values for aware_fertile_effects

355 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
aware_fertile_effects	You notive psychological or physiological changes about yourself, when you are fertile or generally over the course of your cycle. Can you describe these changes ?	textarea	character	1	aware_cycle_changes > 1 | aware_cycle_changes_ovulation > 1 | aware_cycle_changes_mens > 1		36	355	0.6968	784	0	2	2547	1

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	aware_fertile_effects	Sie nehmen bei sich selbst psychologische oder physiologische Veränderungen war, wenn Sie fruchtbar sind oder generell über den Zyklus hinweg? Können Sie diese benennen?	1	aware_cycle_changes > 1 | aware_cycle_changes_ovulation > 1 | aware_cycle_changes_mens > 1		36

Value labels

Response choices

name	value

let_mens_affect_behavior

On the days before my menstruation I tend to let out my bad mood on others.

Distribution

Distribution of values for let_mens_affect_behavior

31 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
let_mens_affect_behavior	On the days before my menstruation I tend to let out my bad mood on others.	haven_labelled	31	0.9735	1	3	5	2.767	1.31	6	▇▆▁▆▁▇▁▃

Value labels

Response choices

name	value
1: does not apply at all	1
2	2
3	3
4	4
5: fully applies	5
Item was never rendered for this user.	NA

feedback_for_us

If you have any general feedback for us, please use this text box for it.

Distribution

Distribution of values for feedback_for_us

976 missing values.

Summary statistics

name	label	type	data_type	optional	showif	value	item_order	n_missing	complete_rate	n_unique	empty	min	max	whitespace
feedback_for_us	If you have any general feedback for us, please use this text box for it.	textarea	character	1			43	976	0.1665	194	0	1	1796	2

Item

Item options

type	name	label	optional	showif	value	item_order
textarea	feedback_for_us	Wenn Sie nun noch generelles Feedback an uns haben, benutzen Sie bitte diese Textbox.	1			43

Value labels

Response choices

name	value

want_more_info

Please tick this box if you want to be notified via email after the analysis of the results about what we found out. We will get in touch with you in the late summer when the data evaluation is completed.

Distribution

Distribution of values for want_more_info

31 missing values.

Summary statistics

## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame

## Error in names(df) = html_item_name: names() applied to a non-vector

## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE

## Error in cb_table$value_labels <- NULL: object 'cb_table' not found

## Error in exists("value_labels", metadata_table): object 'cb_table' not found

Item

Item options

type	name	label	optional	class	showif	value	item_order
check_button	want_more_info	Bitte kreuzen Sie dieses Feld an, wenn Sie nach Auswertung der Ergebnisse von uns per Email erfahren wollen, was wir herausgefunden haben. Wir melden uns dann im Spätsommer bei Ihnen, wenn die Datenauswertung abgeschlossen ist.	1	left600			45

Value labels

Response choices

name	value
Item was never rendered for this user.	NA

Scale: let_hormones_affect_behavior

Overview

Reliability: .

Missing: 31.

Likert plot of scale let_hormones_affect_behavior items

Distribution of scale let_hormones_affect_behavior

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	let_hormones_affect_behavior1R & let_hormones_affect_behavior2
Observations:	1140
Positive correlations:	1
Number of correlations:	1
Percentage positive correlations:	100

Estimates assuming interval level

Estimates for two-item measures

Spearman Brown coefficient:	0.47
Coefficient Alpha:	0.46
Pearson Correlation:	0.30

Eigen values

1.305 & 0.695

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
let_hormones_affect_behavior1R	3.22017543859649	3	1.1955539639265	1.09341390329852	1	0.0323841249272532	1	2	4	5	-0.238594723437503	-0.563567302814599	0.151315789473684	1140	0	1140
let_hormones_affect_behavior2	2.91315789473684	3	1.84056420682963	1.35667395008146	2	0.0401812145907873	1	1	4	5	-0.00918774181158757	-1.25166408711994	0.105263157894737	1140	0	1140

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
let_hormones_affect_behavior1R	In my behavior I do not let myself be led by my hormones.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	31	0.9735	1	3	5	3.220	1.093	6	▂▅▁▇▁▇▁▃
let_hormones_affect_behavior2	When my hormones are going crazy it can happen that I run riot.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	31	0.9735	1	3	5	2.913	1.357	6	▆▆▁▆▁▇▁▅

Scale: hormones_may_affect_me

Overview

Reliability: .

Missing: 31.

Likert plot of scale hormones_may_affect_me items

Distribution of scale hormones_may_affect_me

Reliability details

Scale diagnosis

Reliability (internal consistency) estimates

Scale structure

Information about this scale

Dataframe:	res$dat
Items:	hormones_may_affect_me1 & hormones_may_affect_me2R
Observations:	1140
Positive correlations:	1
Number of correlations:	1
Percentage positive correlations:	100

Estimates assuming interval level

Estimates for two-item measures

Spearman Brown coefficient:	0.59
Coefficient Alpha:	0.59
Pearson Correlation:	0.42

Eigen values

1.416 & 0.584

Item descriptives

	mean	median	var	sd	IQR	se	min	q1	q3	max	skew	kurt	dip	n	NA	valid
hormones_may_affect_me1	2.47894736842105	2	1.2541657039878	1.11989539868141	1	0.0331684391308253	1	1	3	5	0.375859182256098	-0.58276766283123	0.148245614035088	1140	0	1140
hormones_may_affect_me2R	2.58157894736842	3	1.37086317637817	1.17083866368436	1	0.0346772484235192	1	2	4	5	0.289593757931042	-0.799430647478316	0.136842105263158	1140	0	1140

Scattermatrix

Scatterplot

Summary statistics

name	label	data_type	value_labels	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
hormones_may_affect_me1	I think that it’s ok to let myself be ruled by my hormones once in a while.	haven_labelled	1: does not apply at all, 2. 2, 3. 3, 4. 4, 5. 5: fully applies, NA. Item was never rendered for this user.	31	0.9735	1	2	5	2.479	1.120	6	▆▇▁▇▁▃▁▁
hormones_may_affect_me2R	A hormonal ‘exceptional state’ is no excuse for me to behave differently.	haven_labelled	1: does not apply at all, 4. 2, 3. 3, 2. 4, 1. 5: fully applies, NA. Item was never rendered for this user.	31	0.9735	1	3	5	2.582	1.171	6	▆▇▁▇▁▅▁▂

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	1171	0	7	7	0	NA

Missingness report

## # A tibble: 23 x 45
##    description modified ended wont_leak medication honest_answers illness new_relationship change_contrace…
##    <chr>          <dbl> <dbl>     <dbl>      <dbl>          <dbl>   <dbl>            <dbl>            <dbl>
##  1 Missing va…        4    31        31         31             31      31               31               31
##  2 Missing va…        1     1         1          1              1       1                1                1
##  3 Missing va…        1     1         1          1              1       1                1                1
##  4 Missing va…        1     1         1          1              1       1                1                1
##  5 Missing va…        1     1         1          1              1       1                1                1
##  6 Missing va…        1     1         1          1              1       1                1                1
##  7 Missing va…        1     1         1          1              1       1                1                1
##  8 Missing va…        1     1         1          1              1       1                1                1
##  9 Missing va…        1     0         0          0              0       0                0                0
## 10 Missing va…        1     1         1          1              1       1                1                1
## # … with 13 more rows, and 36 more variables: aware_mittelschmerz <dbl>, aware_cycle_changes <dbl>,
## #   aware_cycle_changes_mens <dbl>, aware_cycle_changes_ovulation <dbl>,
## #   let_hormones_affect_behavior1R <dbl>, let_hormones_affect_behavior2 <dbl>,
## #   let_mens_affect_behavior <dbl>, hormones_may_affect_me1 <dbl>, hormones_may_affect_me2R <dbl>,
## #   want_more_info <dbl>, let_hormones_affect_behavior <dbl>, hormones_may_affect_me <dbl>,
## #   aware_fertile_effects <dbl>, breakup <dbl>, special_days <dbl>, medication_name <dbl>,
## #   hypothesis_guess <dbl>, illness_name <dbl>, aware_fertile_phases_number <dbl>,
## #   aware_fertile_1_start <dbl>, aware_fertile_1_end <dbl>, aware_fertile_2_start <dbl>,
## #   aware_fertile_2_end <dbl>, follicular_phase_length_certainty <dbl>, luteal_phase_length_certainty <dbl>,
## #   follicular_phase_length <dbl>, feedback_for_us <dbl>, luteal_phase_length <dbl>,
## #   aware_fertile_3_start <dbl>, aware_fertile_3_end <dbl>, aware_fertile_reason_unusual <dbl>,
## #   change_contraception_to <dbl>, expired <dbl>, honest_answers_name <dbl>, var_miss <dbl>, n_miss <dbl>

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "s4_followup",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=1171 rows and 45 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "created", "modified", "ended", "expired", "hypothesis_guess", "wont_leak", "medication", "medication_name", "special_days", "honest_answers", "honest_answers_name", "illness", "illness_name", "breakup", "new_relationship", "change_contraception", "change_contraception_to", "aware_fertile_phases_number", "aware_fertile_1_start", "aware_fertile_1_end", "aware_fertile_2_start", "aware_fertile_2_end", "aware_fertile_3_start", "aware_fertile_3_end", "aware_fertile_reason_unusual", "follicular_phase_length", "follicular_phase_length_certainty", "luteal_phase_length", "luteal_phase_length_certainty", "aware_mittelschmerz", "aware_cycle_changes", "aware_cycle_changes_mens", "aware_cycle_changes_ovulation", "aware_fertile_effects", "let_hormones_affect_behavior1R", "let_hormones_affect_behavior2", "let_mens_affect_behavior", "hormones_may_affect_me1", "hormones_may_affect_me2R", "feedback_for_us", "want_more_info", "let_hormones_affect_behavior", "hormones_may_affect_me", "short"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "modified",
      "description": "user last edited survey",
      "@type": "propertyValue"
    },
    {
      "name": "ended",
      "description": "user finished survey",
      "@type": "propertyValue"
    },
    {
      "name": "expired",
      "@type": "propertyValue"
    },
    {
      "name": "hypothesis_guess",
      "description": "## follow-up questionnaire\n                                                                                                                                                                    What do you believe this study was mainly about?\n\nIf you do not have a hunch or have now thought about this for the first time, just leave this box blank. You can gladly leave us further comments later.\n",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "wont_leak",
      "description": "",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "medication",
      "description": "Have you taken any madicinal products in the last month?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "medication_name",
      "description": "If you have, please name the preperation or preperations.",
      "@type": "propertyValue"
    },
    {
      "name": "special_days",
      "description": "Did any special or extraordinary eventy occur within the period of time of the study which we should know about, in order to  categorize your relationship dynamics and other statements properly?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "honest_answers",
      "description": "Did you answer all the questions of this study (includingthe pre- and daily questionnaire) truthfully (as best you could)? You will not suffer any negative consequences concering your payment or the raffle by negating this question.",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "honest_answers_name",
      "description": "If you didn't, please describe which questions you didn't answer truthfully, if possible.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "illness",
      "description": "Have you been sick in the last month?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "illness_name",
      "description": "If you have, what did you suffer from?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "breakup",
      "description": "Did you break up with your partner in the last month?",
      "value": "0. No,\n1. Yes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "new_relationship",
      "description": "Did you enter into a new partnership in the last month?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "change_contraception",
      "description": "Have you changed your method of contraception in the last month?",
      "value": "0. No,\n1. Yes,\nNA. Item was never rendered for this user.",
      "maxValue": 1,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "change_contraception_to",
      "description": "Which method of contraception do you use now?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_phases_number",
      "description": "How many fertile phases or \"windows\" did you observe during the time period of the study? <small>You stated that you use a form of contraception in which \nyou watch your fertile phases or that you use a cycle app.<\/small>",
      "value": "NA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_1_start",
      "description": "First window: from",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_1_end",
      "description": "to",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_2_start",
      "description": "Second window: from",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_2_end",
      "description": "to",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_3_start",
      "description": "Third window: from",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_3_end",
      "description": "to",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_reason_unusual",
      "description": "You stated having observed less than two or more than 3 fertile windows within the 70 days of this diary. That is rather unusual for a time period of 70 days and some days are aware of the reasons for this occurance. If you know the reason, please explain it here.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "follicular_phase_length",
      "description": "How long is the duration of your follicular phase (1st half of your cycle: maturation phase of the follicle, ends with ovulation; mostly between 12-21 days)? If you cannot make a statement you can leave this box blank.",
      "value": "NA. Item was not shown to this user.,\nNA. User skipped this item.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "follicular_phase_length_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. NA,\n2. NA,\n3. NA,\n4. NA,\n5. NA,\n6. NA,\n7. NA,\n8. NA,\nNA. Item was not shown to this user.,\nNA. User skipped this item.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "luteal_phase_length",
      "description": "How long is the duration of your luteal phase (2nd half of your cycle: corpus luteum phase, begins with ovulation; mostly between 12-16 days)? If you cannot make a statement, you can leave this box blank.",
      "value": "NA. Item was not shown to this user.,\nNA. User skipped this item.,\nNA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "luteal_phase_length_certainty",
      "description": "How sure are you about this statement?",
      "value": "1. NA,\n2. NA,\n3. NA,\n4. NA,\n5. NA,\n6. NA,\n7. NA,\n8. NA,\nNA. Item was not shown to this user.,\nNA. User skipped this item.,\nNA. Item was never rendered for this user.",
      "maxValue": 8,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "aware_mittelschmerz",
      "description": "Do you experience 'Mittelschmerz', which is a pain in your lower abdomen, which occurs in the middle of your cycle for ovulation, and normally lasts for a few hours up to a few days?",
      "value": "1_every_cycle. Yes, every cycle,\n2_every_other_cycle. Yes, about every second cycle,\n3_sometimes. Yes, sometimes,\n4_rarely. Yes, but seldomly,\n5_no_almost_never. No, extremely rarely,\n6_no_not_sure. No, I'm not sure,\n7_no_never. No, never",
      "maxValue": "7_no_never",
      "minValue": "1_every_cycle",
      "@type": "propertyValue"
    },
    {
      "name": "aware_cycle_changes",
      "description": "I experience hormone fluctuations in my cycle.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "aware_cycle_changes_mens",
      "description": "I notice hormone changes before and/or during menstruation.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "aware_cycle_changes_ovulation",
      "description": "I notice hormone changes in the middle of my cycle, when I am fertile.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "aware_fertile_effects",
      "description": "You notive psychological or physiological changes about yourself, when you are fertile or generally over the course of your cycle. Can you describe these changes ?",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "let_hormones_affect_behavior1R",
      "description": "In my behavior I do not let myself be led by my hormones.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "let_hormones_affect_behavior2",
      "description": "When my hormones are going crazy it can happen that I run riot.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "let_mens_affect_behavior",
      "description": "On the days before my menstruation I tend to let out my bad mood on others.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "hormones_may_affect_me1",
      "description": "I think that it's ok to let myself be ruled by my hormones once in a while.",
      "value": "1. 1: does not apply at all,\n2. 2,\n3. 3,\n4. 4,\n5. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "hormones_may_affect_me2R",
      "description": "A hormonal 'exceptional state' is no excuse for me to behave differently.",
      "value": "5. 1: does not apply at all,\n4. 2,\n3. 3,\n2. 4,\n1. 5: fully applies,\nNA. Item was never rendered for this user.",
      "maxValue": 5,
      "minValue": 1,
      "@type": "propertyValue"
    },
    {
      "name": "feedback_for_us",
      "description": "If you have any general feedback for us, please use this text box for it.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "want_more_info",
      "description": "Please tick this box if you want to be notified via email after the analysis of the results about what we found out. We will get in touch with you in the late summer when the data evaluation is completed.",
      "value": "NA. Item was never rendered for this user.",
      "maxValue": "-Inf",
      "minValue": "Inf",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    },
    {
      "name": "let_hormones_affect_behavior",
      "description": "2 let_hormones_affect_behavior items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "hormones_may_affect_me",
      "description": "2 hormones_may_affect_me items averaged with aggregation_function",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    }
  ]
}`

Menstruation follow-up

To be able to backward-count from the onset of the next menstruation, we followed up with women who had not menstruated in the last 5 days of the diary, until the next menstrual onset for up to 40 days.

Metadata

Description

Dataset name: s5_hadmenstruation

The dataset has N=442 rows and 3 columns. 442 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session created_date menstrual_onset_date_inferred

#Variables

created_date

user first opened survey

Distribution

## 153  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	min	median	max
created_date	user first opened survey	Date	0	1	153	2016-07-17	2016-12-31	2017-04-24

menstrual_onset_date_inferred

Bitte geben Sie das genaue Datum des ersten Tages Ihrer letzten Menstruationsblutung an. Schauen Sie dazu ggf. in Ihrem Kalender nach.

Distribution

## 171  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	label	type	type_options	data_type	optional	showif	item_order	n_missing	complete_rate	n_unique	min	median	max
menstrual_onset_date_inferred	Bitte geben Sie das genaue Datum des ersten Tages Ihrer letzten Menstruationsblutung an. Schauen Sie dazu ggf. in Ihrem Kalender nach.	date	-2months,today	Date	0	had_menstrual_bleeding == 1	3	0	1	171	2016-07-08	2016-12-28	2017-04-20

Item

Item options

type	type_options	name	label	optional	showif	item_order
date	-2months,today	last_menstrual_onset_date	Bitte geben Sie das genaue Datum des ersten Tages Ihrer letzten Menstruationsblutung an. Schauen Sie dazu ggf. in Ihrem Kalender nach.	0	had_menstrual_bleeding == 1	3

Value labels

Response choices

name	value

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "s5_hadmenstruation",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=442 rows and 3 columns.\n442 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                          |label                                                                                                                                  | n_missing|\n|:-----------------------------|:--------------------------------------------------------------------------------------------------------------------------------------|---------:|\n|session                       |NA                                                                                                                                     |         0|\n|created_date                  |user first opened survey                                                                                                               |         0|\n|menstrual_onset_date_inferred |Bitte geben Sie das genaue Datum des ersten Tages Ihrer letzten Menstruationsblutung an. Schauen Sie dazu ggf. in Ihrem Kalender nach. |         0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "created_date", "menstrual_onset_date_inferred"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "created_date",
      "description": "user first opened survey",
      "@type": "propertyValue"
    },
    {
      "name": "menstrual_onset_date_inferred",
      "description": "Bitte geben Sie das genaue Datum des ersten Tages Ihrer letzten Menstruationsblutung an. Schauen Sie dazu ggf. in Ihrem Kalender nach.",
      "measurementTechnique": "self-report",
      "@type": "propertyValue"
    }
  ]
}`

Lab Study

A subset of the diary participants also participated in a lab study, in which hormones where collected. Participation dates were intended to overlap, but scheduling did not always permit this.

Metadata

Description

Dataset name: lab

The dataset has N=552 rows and 53 columns. 0 rows have no missing values on any column.

Metadata for search engines

• Date published: 2020-06-11

x session short VPN-CODE Tagebuchcode VPN-Zahl created_date Uhrzeit Date LH surge exclude_luteal_too_long Menstrual Onset Versuchsleiterin1 Versuchsleiterin2 Derzeitige Schwellungen Session Nr. Zyklusphase Ratings Körper Ratings Stimmen Ratings Verhalten Age Relationship_status Relationship_Duration Cortisol nmol/l Testosterone pg/ml Progesterone pg/ml Estradiol pg/ml IBL_Estradiol pg/ml IBL_E/P self.reported.stress Lungenvolumen 1. Messung Lungenvolumen 2. Messung Lungenvolumen 3. Messung MEAN Lungenvolumen Handgriffstärke Links 1. Messung Handgriffstärke Links 2. Messung Handgriffstärke Links 3. Messung MEAN Handgriffstärke Links Handgriffstärke rechts 1. Messung Handgriffstärke rechts 2. Messung Handgriffstärke rechts 3. Messung MEAN Handgriffstärke rechts Oberkörperstärke 1. Messung Oberkörperstärke 2. Messung Oberkörperstärke 3. Messung MEAN Oberkörperstärke Größe 1. Messung Größe 2. Messung MEAN Größe Gewicht 1. Messung Gewicht 2. Messung Gewicht 3. Messung MEAN Gewicht BMI Sonstiges

#Variables

short

Distribution

Distribution of values for short

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
short	character	0	1	138	0	7	7	0	NA

VPN-CODE

Distribution

Distribution of values for VPN-CODE

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
VPN-CODE	character	0	1	140	0	9	11	0	NA

Tagebuchcode

Distribution

Distribution of values for Tagebuchcode

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Tagebuchcode	character	0	1	198	0	64	65	0	NA

VPN-Zahl

Distribution

Distribution of values for VPN-Zahl

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
VPN-Zahl	numeric	0	1	100	192	279	191.3	50.9	▆▇▇▇▇	NA

created_date

Distribution

## 168  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
created_date	Date	0	1	168	2016-03-06	2016-10-21	2017-03-15	NA

Uhrzeit

Distribution

## 34  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
Uhrzeit	POSIXct	0	1	34	1899-12-31 09:00:00	1899-12-31 13:22:30	1899-12-31 22:00:00	NA

Date LH surge

Distribution

## 157  unique, categorical values, so not shown.

305 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
Date LH surge	Date	305	0.4475	157	2016-05-07	2016-10-21	2017-03-16	NA

exclude_luteal_too_long

Distribution

Distribution of values for exclude_luteal_too_long

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
exclude_luteal_too_long	numeric	0	1	0	0	1	0.0616	0.2406	▇▁▁▁▁	NA

Menstrual Onset

Distribution

## 198  unique, categorical values, so not shown.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	min	median	max	label
Menstrual Onset	POSIXct	0	1	198	2016-05-13	2016-11-05	2017-03-27	NA

Versuchsleiterin1

Distribution

Distribution of values for Versuchsleiterin1

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Versuchsleiterin1	numeric	0	1	1	2	5	2.217	1.081	▇▇▅▂▁	NA

Versuchsleiterin2

Distribution

Distribution of values for Versuchsleiterin2

489 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Versuchsleiterin2	numeric	489	0.1141	1	4	5	3.365	1.021	▁▅▃▇▂	NA

Derzeitige Schwellungen

Distribution

Distribution of values for Derzeitige Schwellungen

538 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Derzeitige Schwellungen	character	538	0.0254	13	0	10	49	0	NA

Session Nr.

Distribution

Distribution of values for Session Nr.

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Session Nr.	numeric	0	1	1	2.5	4	2.502	1.117	▇▇▁▇▇	NA

Zyklusphase

Distribution

Distribution of values for Zyklusphase

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Zyklusphase	numeric	0	1	1	1.5	2	1.5	0.5005	▇▁▁▁▇	NA

Ratings Körper

Distribution

Distribution of values for Ratings Körper

8 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Ratings Körper	numeric	8	0.9855	1	2	3	2.018	0.7381	▅▁▇▁▅	NA

Ratings Stimmen

Distribution

Distribution of values for Ratings Stimmen

9 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Ratings Stimmen	numeric	9	0.9837	1	2	3	2.044	0.8834	▇▁▅▁▇	NA

Ratings Verhalten

Distribution

Distribution of values for Ratings Verhalten

8 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Ratings Verhalten	numeric	8	0.9855	1	2	3	1.934	0.8183	▇▁▇▁▆	NA

Age

Distribution

Distribution of values for Age

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Age	numeric	0	1	18	23	35	23.25	3.433	▇▇▅▂▁	NA

Relationship_status

Distribution

Distribution of values for Relationship_status

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Relationship_status	numeric	0	1	1	1	5	1.897	1.046	▇▁▅▁▁	NA

Relationship_Duration

Distribution

Distribution of values for Relationship_Duration

298 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Relationship_Duration	numeric	298	0.4601	0	20	143	31.61	33.29	▇▃▂▁▁	NA

Cortisol nmol/l

Distribution

Distribution of values for Cortisol nmol/l

2 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Cortisol nmol/l	numeric	2	0.9964	0.062	3	34	3.918	3.497	▇▁▁▁▁	NA

Testosterone pg/ml

Distribution

Distribution of values for Testosterone pg/ml

18 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Testosterone pg/ml	numeric	18	0.9674	1.4	7.2	302	9.201	16.95	▇▁▁▁▁	NA

Progesterone pg/ml

Distribution

Distribution of values for Progesterone pg/ml

43 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Progesterone pg/ml	numeric	43	0.9221	0.26	14	281	49.37	65.58	▇▂▁▁▁	NA

Estradiol pg/ml

Distribution

Distribution of values for Estradiol pg/ml

428 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Estradiol pg/ml	numeric	428	0.2246	2.1	8.1	260	15.6	31.48	▇▁▁▁▁	NA

IBL_Estradiol pg/ml

Distribution

Distribution of values for IBL_Estradiol pg/ml

30 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
IBL_Estradiol pg/ml	numeric	30	0.9457	0.15	5	31	5.928	3.981	▇▃▁▁▁	NA

IBL_E/P

Distribution

Distribution of values for IBL_E/P

70 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
IBL_E/P	numeric	70	0.8732	0.0018	0.33	28	0.8819	1.814	▇▁▁▁▁	NA

self.reported.stress

Distribution

Distribution of values for self.reported.stress

234 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
self.reported.stress	numeric	234	0.5761	0	2	4	1.953	1.096	▃▆▇▇▂	NA

Lungenvolumen 1. Messung

Distribution

Distribution of values for Lungenvolumen 1. Messung

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Lungenvolumen 1. Messung	numeric	0	1	0.66	2.9	4.3	2.804	0.6155	▁▂▆▇▂	NA

Lungenvolumen 2. Messung

Distribution

Distribution of values for Lungenvolumen 2. Messung

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Lungenvolumen 2. Messung	numeric	0	1	0.33	2.9	4.4	2.833	0.601	▁▂▅▇▂	NA

Lungenvolumen 3. Messung

Distribution

Distribution of values for Lungenvolumen 3. Messung

1 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Lungenvolumen 3. Messung	numeric	1	0.9982	0.56	2.9	4.2	2.863	0.6042	▁▂▅▇▂	NA

MEAN Lungenvolumen

Distribution

Distribution of values for MEAN Lungenvolumen

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Lungenvolumen	numeric	0	1	0.79	2.9	4.1	2.833	0.5762	▁▂▅▇▂	NA

Handgriffstärke Links 1. Messung

Distribution

Distribution of values for Handgriffstärke Links 1. Messung

18 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke Links 1. Messung	numeric	18	0.9674	12	26	47	26.43	5.79	▂▇▇▂▁	NA

Handgriffstärke Links 2. Messung

Distribution

Distribution of values for Handgriffstärke Links 2. Messung

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke Links 2. Messung	numeric	4	0.9928	11	24	46	25.05	5.889	▂▇▆▂▁	NA

Handgriffstärke Links 3. Messung

Distribution

Distribution of values for Handgriffstärke Links 3. Messung

2 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke Links 3. Messung	numeric	2	0.9964	10	24	46	24.36	5.952	▂▇▆▂▁	NA

MEAN Handgriffstärke Links

Distribution

Distribution of values for MEAN Handgriffstärke Links

1 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Handgriffstärke Links	numeric	1	0.9982	12	25	46	25.29	5.658	▂▇▆▂▁	NA

Handgriffstärke rechts 1. Messung

Distribution

Distribution of values for Handgriffstärke rechts 1. Messung

75 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke rechts 1. Messung	numeric	75	0.8641	15	29	50	28.97	6.309	▃▇▇▂▁	NA

Handgriffstärke rechts 2. Messung

Distribution

Distribution of values for Handgriffstärke rechts 2. Messung

6 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke rechts 2. Messung	numeric	6	0.9891	12	28	55	27.62	6.122	▂▇▅▁▁	NA

Handgriffstärke rechts 3. Messung

Distribution

Distribution of values for Handgriffstärke rechts 3. Messung

6 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Handgriffstärke rechts 3. Messung	numeric	6	0.9891	11	26	48	26.77	6.108	▂▆▇▂▁	NA

MEAN Handgriffstärke rechts

Distribution

Distribution of values for MEAN Handgriffstärke rechts

4 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Handgriffstärke rechts	numeric	4	0.9928	13	28	49	27.74	5.801	▂▇▇▂▁	NA

Oberkörperstärke 1. Messung

Distribution

Distribution of values for Oberkörperstärke 1. Messung

48 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Oberkörperstärke 1. Messung	numeric	48	0.913	4	19	40	20.13	6.754	▂▇▇▃▁	NA

Oberkörperstärke 2. Messung

Distribution

Distribution of values for Oberkörperstärke 2. Messung

2 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Oberkörperstärke 2. Messung	numeric	2	0.9964	4	19	49	18.98	6.618	▃▇▅▁▁	NA

Oberkörperstärke 3. Messung

Distribution

Distribution of values for Oberkörperstärke 3. Messung

2 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Oberkörperstärke 3. Messung	numeric	2	0.9964	4	18	40	19.04	6.646	▃▇▇▃▁	NA

MEAN Oberkörperstärke

Distribution

Distribution of values for MEAN Oberkörperstärke

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Oberkörperstärke	numeric	0	1	4.7	19	43	19.35	6.203	▃▇▇▂▁	NA

Größe 1. Messung

Distribution

Distribution of values for Größe 1. Messung

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Größe 1. Messung	numeric	0	1	145	171	187	170	6.489	▁▂▇▇▂	NA

Größe 2. Messung

Distribution

Distribution of values for Größe 2. Messung

11 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Größe 2. Messung	numeric	11	0.9801	146	171	187	170	6.412	▁▂▇▇▂	NA

MEAN Größe

Distribution

Distribution of values for MEAN Größe

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Größe	numeric	0	1	68	171	187	169.8	7.81	▁▁▁▁▇	NA

Gewicht 1. Messung

Distribution

Distribution of values for Gewicht 1. Messung

5 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Gewicht 1. Messung	numeric	5	0.9909	42	64	116	65.22	11.45	▃▇▂▁▁	NA

Gewicht 2. Messung

Distribution

Distribution of values for Gewicht 2. Messung

7 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Gewicht 2. Messung	numeric	7	0.9873	42	64	116	65.17	11.45	▃▇▂▁▁	NA

Gewicht 3. Messung

Distribution

Distribution of values for Gewicht 3. Messung

143 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
Gewicht 3. Messung	numeric	143	0.7409	42	64	114	65.09	11.47	▃▇▃▁▁	NA

MEAN Gewicht

Distribution

Distribution of values for MEAN Gewicht

5 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
MEAN Gewicht	numeric	5	0.9909	42	64	116	65.22	11.45	▃▇▂▁▁	NA

BMI

Distribution

Distribution of values for BMI

5 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
BMI	numeric	5	0.9909	16	22	148	22.75	6.378	▇▁▁▁▁	NA

Sonstiges

Distribution

Distribution of values for Sonstiges

535 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace	label
Sonstiges	character	535	0.0308	17	0	11	92	0	NA

Missingness report

## # A tibble: 21 x 36
##    description `Lungenvolumen … `MEAN Handgriff… `Cortisol nmol/… `Handgriffstärk… `Oberkörperstär…
##    <chr>                  <dbl>            <dbl>            <dbl>            <dbl>            <dbl>
##  1 Missing va…                1                1                2                2                2
##  2 Missing va…                1                1                1                1                1
##  3 Missing va…                1                1                1                1                1
##  4 Missing va…                1                1                1                1                1
##  5 Missing va…                1                1                1                1                1
##  6 Missing va…                1                1                1                1                1
##  7 Missing va…                1                1                1                1                1
##  8 Missing va…                1                1                1                1                1
##  9 Missing va…                1                1                1                1                1
## 10 Missing va…                1                1                1                1                1
## # … with 11 more rows, and 30 more variables: `Oberkörperstärke 3. Messung` <dbl>, `Handgriffstärke Links 2.
## #   Messung` <dbl>, `MEAN Handgriffstärke rechts` <dbl>, `Gewicht 1. Messung` <dbl>, `MEAN Gewicht` <dbl>,
## #   BMI <dbl>, `Handgriffstärke rechts 2. Messung` <dbl>, `Handgriffstärke rechts 3. Messung` <dbl>, `Gewicht
## #   2. Messung` <dbl>, `Ratings Körper` <dbl>, `Ratings Verhalten` <dbl>, `Ratings Stimmen` <dbl>, `Größe 2.
## #   Messung` <dbl>, `Testosterone pg/ml` <dbl>, `Handgriffstärke Links 1. Messung` <dbl>, `IBL_Estradiol
## #   pg/ml` <dbl>, `Progesterone pg/ml` <dbl>, `Oberkörperstärke 1. Messung` <dbl>, `IBL_E/P` <dbl>,
## #   `Handgriffstärke rechts 1. Messung` <dbl>, `Gewicht 3. Messung` <dbl>, self.reported.stress <dbl>,
## #   Relationship_Duration <dbl>, `Date LH surge` <dbl>, `Estradiol pg/ml` <dbl>, Versuchsleiterin2 <dbl>,
## #   Sonstiges <dbl>, `Derzeitige Schwellungen` <dbl>, var_miss <dbl>, n_miss <dbl>

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "lab",
  "datePublished": "2020-06-11",
  "description": "The dataset has N=552 rows and 53 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                              |label | n_missing|\n|:---------------------------------|:-----|---------:|\n|session                           |NA    |         0|\n|short                             |NA    |         0|\n|VPN-CODE                          |NA    |         0|\n|Tagebuchcode                      |NA    |         0|\n|VPN-Zahl                          |NA    |         0|\n|created_date                      |NA    |         0|\n|Uhrzeit                           |NA    |         0|\n|Date LH surge                     |NA    |       305|\n|exclude_luteal_too_long           |NA    |         0|\n|Menstrual Onset                   |NA    |         0|\n|Versuchsleiterin1                 |NA    |         0|\n|Versuchsleiterin2                 |NA    |       489|\n|Derzeitige Schwellungen           |NA    |       538|\n|Session Nr.                       |NA    |         0|\n|Zyklusphase                       |NA    |         0|\n|Ratings Körper                    |NA    |         8|\n|Ratings Stimmen                   |NA    |         9|\n|Ratings Verhalten                 |NA    |         8|\n|Age                               |NA    |         0|\n|Relationship_status               |NA    |         0|\n|Relationship_Duration             |NA    |       298|\n|Cortisol nmol/l                   |NA    |         2|\n|Testosterone pg/ml                |NA    |        18|\n|Progesterone pg/ml                |NA    |        43|\n|Estradiol pg/ml                   |NA    |       428|\n|IBL_Estradiol pg/ml               |NA    |        30|\n|IBL_E/P                           |NA    |        70|\n|self.reported.stress              |NA    |       234|\n|Lungenvolumen 1. Messung          |NA    |         0|\n|Lungenvolumen 2. Messung          |NA    |         0|\n|Lungenvolumen 3. Messung          |NA    |         1|\n|MEAN Lungenvolumen                |NA    |         0|\n|Handgriffstärke Links 1. Messung  |NA    |        18|\n|Handgriffstärke Links 2. Messung  |NA    |         4|\n|Handgriffstärke Links 3. Messung  |NA    |         2|\n|MEAN Handgriffstärke Links        |NA    |         1|\n|Handgriffstärke rechts 1. Messung |NA    |        75|\n|Handgriffstärke rechts 2. Messung |NA    |         6|\n|Handgriffstärke rechts 3. Messung |NA    |         6|\n|MEAN Handgriffstärke rechts       |NA    |         4|\n|Oberkörperstärke 1. Messung       |NA    |        48|\n|Oberkörperstärke 2. Messung       |NA    |         2|\n|Oberkörperstärke 3. Messung       |NA    |         2|\n|MEAN Oberkörperstärke             |NA    |         0|\n|Größe 1. Messung                  |NA    |         0|\n|Größe 2. Messung                  |NA    |        11|\n|MEAN Größe                        |NA    |         0|\n|Gewicht 1. Messung                |NA    |         5|\n|Gewicht 2. Messung                |NA    |         7|\n|Gewicht 3. Messung                |NA    |       143|\n|MEAN Gewicht                      |NA    |         5|\n|BMI                               |NA    |         5|\n|Sonstiges                         |NA    |       535|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.3).",
  "keywords": ["session", "short", "VPN-CODE", "Tagebuchcode", "VPN-Zahl", "created_date", "Uhrzeit", "Date LH surge", "exclude_luteal_too_long", "Menstrual Onset", "Versuchsleiterin1", "Versuchsleiterin2", "Derzeitige Schwellungen", "Session Nr.", "Zyklusphase", "Ratings Körper", "Ratings Stimmen", "Ratings Verhalten", "Age", "Relationship_status", "Relationship_Duration", "Cortisol nmol/l", "Testosterone pg/ml", "Progesterone pg/ml", "Estradiol pg/ml", "IBL_Estradiol pg/ml", "IBL_E/P", "self.reported.stress", "Lungenvolumen 1. Messung", "Lungenvolumen 2. Messung", "Lungenvolumen 3. Messung", "MEAN Lungenvolumen", "Handgriffstärke Links 1. Messung", "Handgriffstärke Links 2. Messung", "Handgriffstärke Links 3. Messung", "MEAN Handgriffstärke Links", "Handgriffstärke rechts 1. Messung", "Handgriffstärke rechts 2. Messung", "Handgriffstärke rechts 3. Messung", "MEAN Handgriffstärke rechts", "Oberkörperstärke 1. Messung", "Oberkörperstärke 2. Messung", "Oberkörperstärke 3. Messung", "MEAN Oberkörperstärke", "Größe 1. Messung", "Größe 2. Messung", "MEAN Größe", "Gewicht 1. Messung", "Gewicht 2. Messung", "Gewicht 3. Messung", "MEAN Gewicht", "BMI", "Sonstiges"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "session",
      "@type": "propertyValue"
    },
    {
      "name": "short",
      "@type": "propertyValue"
    },
    {
      "name": "VPN-CODE",
      "@type": "propertyValue"
    },
    {
      "name": "Tagebuchcode",
      "@type": "propertyValue"
    },
    {
      "name": "VPN-Zahl",
      "@type": "propertyValue"
    },
    {
      "name": "created_date",
      "@type": "propertyValue"
    },
    {
      "name": "Uhrzeit",
      "@type": "propertyValue"
    },
    {
      "name": "Date LH surge",
      "@type": "propertyValue"
    },
    {
      "name": "exclude_luteal_too_long",
      "@type": "propertyValue"
    },
    {
      "name": "Menstrual Onset",
      "@type": "propertyValue"
    },
    {
      "name": "Versuchsleiterin1",
      "@type": "propertyValue"
    },
    {
      "name": "Versuchsleiterin2",
      "@type": "propertyValue"
    },
    {
      "name": "Derzeitige Schwellungen",
      "@type": "propertyValue"
    },
    {
      "name": "Session Nr.",
      "@type": "propertyValue"
    },
    {
      "name": "Zyklusphase",
      "@type": "propertyValue"
    },
    {
      "name": "Ratings Körper",
      "@type": "propertyValue"
    },
    {
      "name": "Ratings Stimmen",
      "@type": "propertyValue"
    },
    {
      "name": "Ratings Verhalten",
      "@type": "propertyValue"
    },
    {
      "name": "Age",
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_status",
      "@type": "propertyValue"
    },
    {
      "name": "Relationship_Duration",
      "@type": "propertyValue"
    },
    {
      "name": "Cortisol nmol/l",
      "@type": "propertyValue"
    },
    {
      "name": "Testosterone pg/ml",
      "@type": "propertyValue"
    },
    {
      "name": "Progesterone pg/ml",
      "@type": "propertyValue"
    },
    {
      "name": "Estradiol pg/ml",
      "@type": "propertyValue"
    },
    {
      "name": "IBL_Estradiol pg/ml",
      "@type": "propertyValue"
    },
    {
      "name": "IBL_E/P",
      "@type": "propertyValue"
    },
    {
      "name": "self.reported.stress",
      "@type": "propertyValue"
    },
    {
      "name": "Lungenvolumen 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Lungenvolumen 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Lungenvolumen 3. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Lungenvolumen",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke Links 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke Links 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke Links 3. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Handgriffstärke Links",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke rechts 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke rechts 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Handgriffstärke rechts 3. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Handgriffstärke rechts",
      "@type": "propertyValue"
    },
    {
      "name": "Oberkörperstärke 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Oberkörperstärke 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Oberkörperstärke 3. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Oberkörperstärke",
      "@type": "propertyValue"
    },
    {
      "name": "Größe 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Größe 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Größe",
      "@type": "propertyValue"
    },
    {
      "name": "Gewicht 1. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Gewicht 2. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "Gewicht 3. Messung",
      "@type": "propertyValue"
    },
    {
      "name": "MEAN Gewicht",
      "@type": "propertyValue"
    },
    {
      "name": "BMI",
      "@type": "propertyValue"
    },
    {
      "name": "Sonstiges",
      "@type": "propertyValue"
    }
  ]
}`