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)
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.
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
|
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
How did this study come to your attention?
Distribution of values for info_study
21 missing values.
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 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
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 of values for lab_code
1453 missing values.
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 |
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 |
name | value |
---|---|
Your age
Distribution of values for age
21 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 18,120,1 | age | Ihr Alter | 0 | 4 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Your sex
Distribution of values for gender
21 missing values.
name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist |
---|---|---|---|---|---|---|---|---|---|---|---|
gender | Your sex | haven_labelled | 21 | 0.9873 | 1 | 1 | 2 | 1.002 | 0.0428 | 3 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
female | 1 |
anderes | 2 |
Item was never rendered for this user. | NA |
Other:
Distribution of values for gender_other
1658 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gender_other | Other: | text | character | 1 | gender == 2 | 6 | 1658 | 0.0012 | 2 | 0 | 8 | 49 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | gender_other | anderes: | 1 | gender == 2 | 6 |
name | value |
---|---|
How many years of education have you had? (High school, studies at a university or community college, NOT training school)
Distribution of values for education_years
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
What is the highest degree you’ve earned?
Distribution of values for education_level
21 missing values.
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 |
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 |
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 of values for education_level_special
1562 missing values.
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 |
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 |
name | value |
---|---|
What professional status do you have right now?
Distribution of values for occupational_status
21 missing values.
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 |
name | value |
---|---|
1 | not_working |
2 | pupil |
3 | trainee |
4 | student |
5 | homemaker |
6 | employed |
7 | intern |
What profession do you practice?
Distribution of values for occupation
1187 missing values.
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 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
textarea | occupation | Welchen Beruf üben Sie aus? | 0 | occupational_status %contains% “employed” | 11 |
name | value |
---|---|
How much money do you have at your disposition each month (net)?
Distribution of values for net_income
21 missing values.
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 |
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 |
What are you currently studying or what did you study?
Distribution of values for study_major
232 missing values.
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 |
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 |
name | value |
---|---|
What are the first three digits of your zip code?
Distribution of values for postal_code
21 missing values.
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 |
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 |
name | value |
---|---|
Which religion or belief system do you consider yourself a part of?
Distribution of values for religion
21 missing values.
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 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7 | 7 |
How religious would you describe yourself?
Distribution of values for religiosity
21 missing values.
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 | ▇▅▁▂▂▁▁▁ |
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 |
What best describes your sexual orientation?
Distribution of values for sex_orientation
21 missing values.
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 | ▇▃▁▁▁▁▁▁ |
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 |
If the above mentioned categories don’t suffice, you can specify here.
Distribution of values for sex_orientation_special
1577 missing values.
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 |
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 |
name | value |
---|---|
What is your relationship status?
Distribution of values for relationship_status
21 missing values.
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 | ▅▁▁▇▁▁▂▁ |
name | value |
---|---|
single | 1 |
loose relationship | 2 |
committed relationship | 3 |
engaged | 4 |
married | 5 |
other | 6 |
Item was never rendered for this user. | NA |
Are you..
Distribution of values for relationship_count
549 missing values.
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 | ▇▁▁▁▁▁▁▁ |
Plot of missing values for relationship_count
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 |
You have selected a type of relationship which might not be concepted well in our questionnaire . Please describe your type of relationship here.
Distribution of values for relationship_details
1632 missing values.
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 |
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 |
name | value |
---|---|
Years
Distribution of values for duration_relationship_years
549 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for duration_relationship_years
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,100 | duration_relationship_years | Jahre | 0 | relationship_status > 1 | 24 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Months
Distribution of values for duration_relationship_month
549 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for duration_relationship_month
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,12 | duration_relationship_month | Monate | 0 | relationship_status > 1 | 25 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
What sex does your partner have?
Distribution of values for partner_gender
549 missing values.
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 | ▁▁▁▁▁▁▁▇ |
Plot of missing values for partner_gender
name | value |
---|---|
female | 1 |
male | 2 |
NA | 3 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Other:
## Error in if (stats::median(table(x)) == 1) {: missing value where TRUE/FALSE needed
## No non-missing values to show.
1660 missing values.
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 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | partner_gender_other | anderes: | 1 | partner_gender == 3 | 27 |
name | value |
---|---|
How old is your partner?
Distribution of values for age_partner
549 missing values.
## 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
Plot of missing values for age_partner
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Do you live with your partner?
Distribution of values for abode_with_partner
549 missing values.
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 | ▇▁▁▁▁▁▁▇ |
Plot of missing values for abode_with_partner
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Do you live by yourself?
Distribution of values for abode_alone
1455 missing values.
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 | ▁▁▁▁▁▁▁▇ |
Plot of missing values for abode_alone
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Please specify your living situation further.
Distribution of values for abode_special_case_description
1643 missing values.
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 |
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 |
name | value |
---|---|
Do you have a long distance relationship?
Distribution of values for long_distance_relationship
1057 missing values.
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 | ▇▁▁▁▁▁▁▆ |
Plot of missing values for long_distance_relationship
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
How far away from your partner do you live?
Distribution of values for distance_partner
1397 missing values.
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 | ▂▇▇▇▁▅▁▂ |
Plot of missing values for distance_partner
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 |
How may days a month do you spend at the same place as your partner?
Distribution of values for days_same_place_partner_monthly
549 missing values.
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 | ▁▁▃▅▁▃▇▇ |
Plot of missing values for days_same_place_partner_monthly
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 |
How many days per week on average do you spend at the same place as your partner?
Distribution of values for days_with_partner
549 missing values.
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 | ▁▂▅▃▂▂▅▇ |
Plot of missing values for days_with_partner
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 |
How many nights per week on average do you spend at the same place as your partner?
Distribution of values for nights_with_partner
549 missing values.
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 | ▂▃▃▃▂▂▃▇ |
Plot of missing values for nights_with_partner
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 |
Do you have children?
Distribution of values for has_children
21 missing values.
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 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
How many biological children do you have?
Distribution of values for nr_children
1482 missing values.
## 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
Plot of missing values for nr_children
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Is your current partner the father of your children?
Distribution of values for partner_father
1482 missing values.
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 | ▅▁▁▁▁▁▁▇ |
Plot of missing values for partner_father
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
You can add other information about your family relations, which aren’t included in our questionnaire, here (e.g. adopted children).
Distribution of values for family_description_optional
1628 missing values.
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 |
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 |
name | value |
---|---|
Are you pregnant or have been in the last three months?
Distribution of values for pregnant
21 missing values.
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 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
Are you currently breastfeeding or have you breastfed in the last three months?
Distribution of values for breast_feeding
21 missing values.
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 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
If you were to find out today that you are pregnant that would be…
Distribution of values for pregnant_stress
59 missing values.
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 | ▇▇▁▅▅▁▂▁ |
Plot of missing values for pregnant_stress
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 |
Are you currently trying to fall pregnant?
Distribution of values for pregnant_trying
59 missing values.
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 | ▇▁▁▁▁▁▁▁ |
Plot of missing values for pregnant_trying
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 |
Why not?
Distribution of values for wish_for_children
120 missing values.
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 |
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 |
Do you generally use contraception (e.g. the pill, condoms, rhythm method, pull-out method, etc.) when having sex?
Distribution of values for contraception_at_all
59 missing values.
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 | ▇▁▁▁▁▁▁▁ |
Plot of missing values for contraception_at_all
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 |
You can state other reasons here.
Distribution of values for contraception_other_reasons_not_to
1605 missing values.
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 |
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 |
name | value |
---|---|
What kind of contraception are you currently using? You can name more than one method of contraception.
Distribution of values for contraception_method
273 missing values.
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 |
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 |
Which other method, that is not listed here, do you use?
Distribution of values for contraception_method_other
1651 missing values.
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 |
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 |
name | value |
---|---|
You have stated that you combine different contraceptives. What is your reason or are your reasons for doing so?
Distribution of values for contraception_combi
1197 missing values.
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 |
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 |
Other reason:
Distribution of values for contraception_method_combination_other
1636 missing values.
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 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
textarea | contraception_method_combination_other | anderer Grund: | 0 | contraception_combi %contains% “other” | 56 |
name | value |
---|---|
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 of values for contraception_calendar_abstinence
1520 missing values.
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 |
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 of values for contraception_hormonal_pill
1086 missing values.
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 |
You have stated that your pill isn’t on this list. Please state the name of your pill here.
Distribution of values for other_pill_name
1581 missing values.
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 |
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 |
name | value |
---|---|
What hormonal contraceptive do you use?
Distribution of values for contraception_hormonal_other
1563 missing values.
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 |
name | value |
---|---|
1 | nuvaring |
2 | circlet |
3 | evra |
4 | mirena |
5 | depo_provera |
6 | depo_clinovir |
7 | implanon |
8 | other |
You have stated that your hormonal contraceptive isn’t on this list. Please state the name of your hormonal contraceptive here.
Distribution of values for contraception_hormonal_other_name
1634 missing values.
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 |
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 |
name | value |
---|---|
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 of values for contraception_pill_estrogen
1581 missing values.
## 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
Plot of missing values for contraception_pill_estrogen
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Please look up what type of gestagen is used in your contraceptive pill by reading the package insert.
Distribution of values for contraception_pill_gestagen_type
1581 missing values.
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 |
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 |
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 of values for contraception_pill_gestagen
1581 missing values.
## 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
Plot of missing values for contraception_pill_gestagen
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
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 of values for contraception_other_estrogen
1581 missing values.
## 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
Plot of missing values for contraception_other_estrogen
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Please look up what type of gestagen is used in your contraceptive by reading the package insert.
Distribution of values for contraception_other_gestagen_type
1581 missing values.
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 |
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 |
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 of values for contraception_other_gestagen
1581 missing values.
## 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
Plot of missing values for contraception_other_gestagen
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Do you use a cycle-app?
Distribution of values for contraception_app
36 missing values.
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 | ▇▁▁▁▁▁▁▃ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
What is this app called?
Distribution of values for contraception_app_name
1249 missing values.
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 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | contraception_app_name | Wie heißt diese App? | 0 | contraception_app == 1 | 69 |
name | value |
---|---|
Have you used hormonal contraception in the last three months?
Distribution of values for hormonal_contraception_last3m
36 missing values.
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 | ▇▁▁▁▁▁▁▆ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
Where you using hormonal contraception (e.g. contraceptive pill) when you met your partner?
Distribution of values for contraception_meeting_partner
560 missing values.
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 | ▇▁▁▁▁▁▁▇ |
Plot of missing values for contraception_meeting_partner
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Please determine your general health at this moment in time.
Distribution of values for self_rated_health
53 missing values.
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 | ▆▁▇▁▁▂▁▁ |
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 |
Please state your height in cm (without shoes).
Distribution of values for height
53 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 80,230 | height | Bitte geben Sie Ihre Körpergröße in cm an (ohne Schuhe). | 0 | 76 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Please state your weight in kg (without clothes).
Distribution of values for weight
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Have you taken any hormonal medication (besides contraception) in the last three months?
Distribution of values for hormonal_med
53 missing values.
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 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
Which have you taken?
Distribution of values for hormonal_med_name
1548 missing values.
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 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
Do you take psychoactive medication (e.g. against depression)?
Distribution of values for psychoactive_med
53 missing values.
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 | ▇▁▁▁▁▁▁▁ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
Which do you take?
Distribution of values for psychoactive_med_name
1605 missing values.
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 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | psychoactive_med_name | Welche? | 0 | psychoactive_med ==1 | 81 |
name | value |
---|---|
How many glasses of alcohol do you averagely ingest in a week?
Distribution of values for alcohol_weekly
53 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,50, 0.5 | alcohol_weekly | Wie viel Gläser Alkohol trinken Sie im Schnitt in der Woche? | 0 | 82 |
name | value |
---|---|
Item was never rendered for this user. | NA |
How many cigaretts do you averagely smoke in a day?
Distribution of values for cigarettes_daily
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
How many hours a week do you work out (causing you to sweat)?
Distribution of values for sport_weekly
53 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,60,0.5 | sport_weekly | Wie viele Stunden pro Woche treiben Sie schweißtreibenden Sport? | 0 | 84 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Distribution of values for sport_kinds
53 missing values.
name | label | data_type | n_missing | complete_rate | n_unique | empty | min | median | max | whitespace | n_value_labels |
---|---|---|---|---|---|---|---|---|---|---|---|
sport_kinds | haven_labelled | 53 | 0.9681 | 525 | 0 | 1 | NA | 122 | 3 | 7 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7 | 7 |
Do you eat meat or animal products?
Distribution of values for meat_eating
53 missing values.
name | label | data_type | n_missing | complete_rate | n_unique | empty | min | median | max | whitespace | n_value_labels |
---|---|---|---|---|---|---|---|---|---|---|---|
meat_eating | Do you eat meat or animal products? | haven_labelled | 53 | 0.9681 | 7 | 0 | 7 | NA | 14 | 0 | 7 |
name | value |
---|---|
1 | 1_every_day |
2 | 2_frequently |
3 | 3_rarely |
4 | 4_only_poultry |
5 | 5_only_fish |
6 | 6_vegetarian |
7 | 7_vegan |
How old were you when you had your first period?
Distribution of values for menarche
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for menarche_certainty
53 missing values.
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 | ▇▆▆▁▁▁▁▁ |
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 |
With how many people have you had sexual intercourse with throughout your life?
Distribution of values for number_sexual_partner
53 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,400 | number_sexual_partner | Mit wie vielen Personen haben Sie insgesamt in Ihrem Leben Geschlechtsverkehr gehabt? | 0 | 89 |
name | value |
---|---|
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for number_sexual_partner_certainty
53 missing values.
name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist |
---|---|---|---|---|---|---|---|---|---|---|---|
number_sexual_partner_certainty | How sure are you about this statement? | haven_labelled | 53 | 0.9681 | 1 | 1 | 8 | 1.646 | 1.225 | 9 | ▇▂▁▁▁▁▁▁ |
name | value |
---|---|
completely sure | 1 |
NA | 2 |
NA | 3 |
NA | 4 |
NA | 5 |
NA | 6 |
NA | 7 |
more doubtful | 8 |
Item was never rendered for this user. | NA |
How old were you when you had sex for the first time?
Distribution of values for first_time
134 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for first_time
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for first_time_certainty
134 missing values.
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 | ▇▁▁▁▁▁▁▁ |
Plot of missing values for first_time_certainty
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 |
Has your mother reached her menopause?
Distribution of values for mother_menopause_yes
53 missing values.
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 | ▇▁▅▁▁▃▁▁ |
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 |
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 of values for mother_menopause_age
895 missing values.
## 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
Plot of missing values for mother_menopause_age
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for mother_menopause_certainty
895 missing values.
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 | ▂▂▆▇▁▃▂▇ |
Plot of missing values for mother_menopause_certainty
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 |
Have you reached menopause?
Distribution of values for menopause_yes
1597 missing values.
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 | ▇▁▁▆▁▁▁▇ |
Plot of missing values for menopause_yes
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 |
How old were you when your menopause began?
Distribution of values for menopause_age
1637 missing values.
## 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
Plot of missing values for menopause_age
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for menopause_certainty
1637 missing values.
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 | ▇▂▂▁▁▁▁▁ |
Plot of missing values for menopause_certainty
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 |
Do you currently have a regular period (roughly every month)?
Distribution of values for menstruation_regular
53 missing values.
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 | ▂▁▁▁▁▁▁▇ |
name | value |
---|---|
No | 0 |
Yes | 1 |
Item was never rendered for this user. | NA |
Please state the first day (start) of your last period. If possible check the date in your calendar.
## 246 unique, categorical values, so not shown.
355 missing values.
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 |
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 |
name | value |
---|---|
How sure are you about this statement?
Distribution of values for menstruation_last_certainty
355 missing values.
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 | ▇▂▁▁▁▁▁▁ |
Plot of missing values for menstruation_last_certainty
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 |
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 of values for menstruation_length
355 missing values.
## 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
Plot of missing values for menstruation_length
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
How sure are you about this statement?
Distribution of values for menstruation_length_certainty
355 missing values.
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 | ▆▇▇▃▁▁▁▁ |
Plot of missing values for menstruation_length_certainty
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 |
How regular has your period been in the last three months?
Distribution of values for menstruation_regularity
355 missing values.
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 | ▃▁▇▁▁▃▁▁ |
Plot of missing values for menstruation_regularity
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 |
How sure are you about this statement?
Distribution of values for menstruation_regularity_certainty
355 missing values.
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 | ▇▃▁▁▁▁▁▁ |
Plot of missing values for menstruation_regularity_certainty
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 |
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 of values for free_not_covered
1471 missing values.
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 |
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 |
name | value |
---|---|
Distribution of values for hetero_relationship
36 missing values.
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 | ▃▁▁▁▇ |
Distribution of values for short
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
short | character | 0 | 1 | 1660 | 0 | 7 | 7 | 0 | NA |
user finished survey
## 215 unique, categorical values, so not shown.
53 missing values.
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 |
Distribution of values for contraception_other_pill_estrogen
1588 missing values.
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 |
Distribution of values for contraception_other_pill_gestagen
1557 missing values.
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 |
Distribution of values for contraception_other_pill_gestagen_type
1557 missing values.
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 |
Distribution of values for hormonal_contraception
0 missing values.
name | data_type | n_missing | complete_rate | count | mean | label |
---|---|---|---|---|---|---|
hormonal_contraception | logical | 0 | 1 | FAL: 982, TRU: 678 | 0.4084 | NA |
Distribution of values for contraception_method_broad
0 missing values.
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 |
Distribution of values for contraception_hormonal_pill_estrogen
1127 missing values.
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 |
Distribution of values for contraception_hormonal_pill_gestagen_type
1086 missing values.
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 |
Distribution of values for estrogen_progestogen
8 missing values.
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 |
Distribution of values for living_situation
0 missing values.
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 |
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"
}
]
}`
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
|
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
I feel safe in my neighbourhood when I am out and about alone at night.
Distribution of values for feel_safe_walking_dark
93 missing values.
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 | ▂▅▁▅▁▇▁▅ |
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 |
I feel safe from violent crimes in my neighbourhood.
Distribution of values for feel_safe_violent_crime
93 missing values.
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 | ▁▂▁▃▁▇▁▆ |
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 |
I feel safe from sexual assaults in my neighbourhood.
Distribution of values for feel_safe_sexual_assault
93 missing values.
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 | ▁▂▁▃▁▇▁▆ |
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 |
I feel safe from theft in my neighbourhood.
Distribution of values for feel_safe_theft
93 missing values.
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 | ▁▂▁▅▁▇▁▅ |
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 |
The sex with my partner is very satisfying.
Distribution of values for satisfaction_sexual_intercourse
570 missing values.
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 | ▁▁▁▃▁▆▁▇ |
Plot of missing values for satisfaction_sexual_intercourse
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 |
I am happy with my single life.
Distribution of values for satisfaction_single_life
1041 missing values.
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 | ▂▇▁▇▁▇▁▃ |
Plot of missing values for satisfaction_single_life
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 |
I invest a lot in order to get to know someone.
Distribution of values for investment_potential_partner
1041 missing values.
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 | ▆▇▁▆▁▅▁▁ |
Plot of missing values for investment_potential_partner
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 |
I am currently looking for the following kind of partnership.
Distribution of values for timeperiod_potential_partner
1041 missing values.
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 |
name | value |
---|---|
1 | no_interest |
2 | one_night |
3 | short |
4 | long |
A partner that I would some to question should have following traits.
Distribution of values for characteristics_potential_partner
1041 missing values.
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 |
name | value |
---|---|
1 | body |
2 | face |
3 | money |
4 | social_status |
5 | intelligence |
6 | humor |
7 | creativity |
8 | trustworthiness |
9 | personality |
There are many acceptable singles in my surrounding area.
Distribution of values for quantity_potential_partner
1041 missing values.
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 | ▅▇▁▆▁▅▁▂ |
Plot of missing values for quantity_potential_partner
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 |
If I am sexually active then usually with men…
Distribution of values for sexual_partner
1041 missing values.
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 |
name | value |
---|---|
1 | longterm |
2 | friends |
3 | met_before |
4 | new |
In a month I averagely have sexual contact with another person about this often.
Distribution of values for fling_frequency
1041 missing values.
## 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
Plot of missing values for fling_frequency
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$hetero_relationship == 0 | 82 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
In a month I averagley have the possibility of having sexual contact with another person about this often.
Distribution of values for fling_frequency_2
1041 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for fling_frequency_2
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 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
The relationship with my partner is very important to me.
Distribution of values for relationship_importance
570 missing values.
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 | ▁▁▁▁▁▂▁▇ |
Plot of missing values for relationship_importance
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 |
The relationship with me is very important to my partner.
Distribution of values for relationship_importance_partner
570 missing values.
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 | ▁▁▁▁▁▂▁▇ |
Plot of missing values for relationship_importance_partner
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 |
Mein Partner ist sehr attraktiv für eine langfristige Beziehung (z.B. als möglicher Ehepartner).
Distribution of values for partner_attractiveness_longterm
570 missing values.
## 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
Plot of missing values for partner_attractiveness_longterm
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$hetero_relationship == 1 | 82 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
I feel very secure when I am with my partner.
Distribution of values for attractiveness_warmth
570 missing values.
name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | n_value_labels | hist |
---|---|---|---|---|---|---|---|---|---|---|---|
attractiveness_warmth | I feel very secure when I am with my partner. | haven_labelled | 570 | 0.623 | 1 | 5 | 5 | 4.54 | 0.7891 | 7 | ▁▁▁▁▁▂▁▇ |
Plot of missing values for attractiveness_warmth
name | value |
---|---|
1: does not apply at all | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: fully applies | 5 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Das Vertrauen zwischen meinem Partner und mir ist sehr stark.
Distribution of values for partner_attractiveness_trust
570 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for partner_attractiveness_trust
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 |
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 |
What amount of money does your partner have at his disposal every month (netto)?
Distribution of values for net_income_partner
570 missing values.
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 |
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 |
My partner is physically stronger than a lot of other men.
Distribution of values for partner_strength
570 missing values.
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 | ▃▆▁▇▁▇▁▃ |
Plot of missing values for partner_strength
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 |
My partner makes my feel very safe.
Distribution of values for partner_feel_safe
570 missing values.
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 | ▁▁▁▁▁▃▁▇ |
Plot of missing values for partner_feel_safe
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 |
I do the following in order to get to know a potential partner.
Distribution of values for meet_potential_partner
1041 missing values.
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 |
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 |
What is the height of your partner (in cm)?
Distribution of values for partner_height
570 missing values.
## 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
Plot of missing values for partner_height
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$hetero_relationship == 1 | 83 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Other:
Distribution of values for meet_potential_partner_other
1505 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
meet_potential_partner_other | Other: | text | character | 0 | meet_potential_partner == ‘other’ | 84 | 1505 | 0.0046 | 7 | 0 | 3 | 85 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | meet_potential_partner_other | Andere: | 0 | meet_potential_partner == ‘other’ | 84 |
name | value |
---|---|
What is the weight of your partner in kg (without clothes)?
Distribution of values for partner_weight
570 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for partner_weight
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$hetero_relationship == 1 | 84 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
With how many different people have you had sexual intercourse in the last 12 months?
Distribution of values for soi_r_behavior_1
101 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
With how many different people have you had sexualy intercourse with only once in your life?
Distribution of values for soi_r_behavior_2
101 missing values.
## 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
number | soi_r_behavior_2 | Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt? | 0 | 117 |
name | value |
---|---|
Item was never rendered for this user. | NA |
How many different people have you had sexual intercourse with, without being interested in having a long-term relationship with that person?
Distribution of values for soi_r_behavior_3
101 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
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 |
name | value |
---|---|
Item was never rendered for this user. | NA |
There are many problems in my relationship.
Distribution of values for relationship_problems
572 missing values.
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 | ▇▇▁▃▁▂▁▁ |
Plot of missing values for relationship_problems
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 |
There are often quarrels/disagreements in my partnership.
Distribution of values for relationship_conflict
572 missing values.
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 | ▇▇▁▅▁▃▁▁ |
Plot of missing values for relationship_conflict
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 |
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 of values for free_not_covered
1419 missing values.
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 |
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 |
name | value |
---|---|
Reliability: ωordinal [95% CI] = 0.86 [0.85;0.87].
Missing: 93.
Likert plot of scale narq items
Distribution of scale narq
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 |
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] |
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.
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
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 |
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 |
Scatterplot
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 |
|
50 | 0.9669 | 1 | 4 | 5 | 3.687 | 0.9881 | 6 | ▁▂▁▆▁▇▁▅ |
narq_3 | I show other how special I am. | haven_labelled |
|
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 |
|
50 | 0.9669 | 1 | 3 | 5 | 2.742 | 1.1093 | 6 | ▃▇▁▇▁▆▁▂ |
narq_2 | I will someday be famous. | haven_labelled |
|
50 | 0.9669 | 1 | 1 | 5 | 1.681 | 0.8954 | 6 | ▇▅▁▂▁▁▁▁ |
narq_11 | I often get annoyed when I am criticized. | haven_labelled |
|
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 |
|
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 |
|
73 | 0.9517 | 1 | 3 | 5 | 2.678 | 1.0777 | 6 | ▃▇▁▇▁▅▁▁ |
narq_1 | I am great. | haven_labelled |
|
73 | 0.9517 | 1 | 3 | 5 | 2.978 | 1.0576 | 6 | ▂▃▁▇▁▅▁▂ |
narq_14 | Other people are worth nothing. | haven_labelled |
|
73 | 0.9517 | 1 | 1 | 5 | 1.109 | 0.4168 | 6 | ▇▁▁▁▁▁▁▁ |
narq_17 | Most people are somehow losers. | haven_labelled |
|
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 |
|
93 | 0.9385 | 1 | 2 | 5 | 2.027 | 1.0408 | 6 | ▇▇▁▃▁▂▁▁ |
narq_13 | Most people won’t achieve anything. | haven_labelled |
|
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 2 | 5 | 1.760 | 0.9111 | 6 | ▇▆▁▂▁▁▁▁ |
narq_8 | I deserve to be seen as a great personality. | haven_labelled |
|
93 | 0.9385 | 1 | 2 | 5 | 2.242 | 1.0841 | 6 | ▇▇▁▇▁▂▁▁ |
narq_9 | I want my rivals to fail. | haven_labelled |
|
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 |
|
93 | 0.9385 | 1 | 2 | 5 | 2.071 | 1.1222 | 6 | ▇▆▁▃▁▂▁▁ |
Reliability: ωordinal [95% CI] = 0.85 [0.84;0.86].
Missing: 93.
Likert plot of scale bfi_open items
Distribution of scale bfi_open
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 |
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] |
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.
3.872, 1.352, 0.973, 0.883, 0.692, 0.567, 0.56, 0.497, 0.311 & 0.293
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
73 | 0.9517 | 1 | 4 | 5 | 3.998 | 1.0148 | 6 | ▁▂▁▃▁▇▁▇ |
bfi_open_5 | I see myself as someone who is inventive. | haven_labelled |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 3 | 5 | 3.058 | 1.1302 | 6 | ▂▆▁▇▁▇▁▂ |
Reliability: ωordinal [95% CI] = 0.9 [0.89;0.9].
Missing: 93.
Likert plot of scale bfi_extra items
Distribution of scale bfi_extra
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 |
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] |
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.
4.327, 0.946, 0.662, 0.584, 0.492, 0.374, 0.328 & 0.286
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 |
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 |
Scatterplot
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 |
|
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 |
|
50 | 0.9669 | 1 | 3 | 5 | 3.427 | 0.9308 | 6 | ▁▂▁▇▁▇▁▂ |
bfi_extra_2r | I see myself as someone who is reserved. | haven_labelled |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 4 | 5 | 3.506 | 1.0926 | 6 | ▁▃▁▆▁▇▁▅ |
Reliability: ωordinal [95% CI] = 0.79 [0.77;0.81].
Missing: 93.
Likert plot of scale bfi_agree items
Distribution of scale bfi_agree
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 |
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] |
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.
3.149, 1.209, 0.934, 0.9, 0.75, 0.625, 0.595, 0.518 & 0.318
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 4 | 5 | 4.109 | 0.9609 | 6 | ▁▁▁▃▁▇▁▇ |
Reliability: ωordinal [95% CI] = 0.89 [0.88;0.9].
Missing: 50.
Likert plot of scale soi_r_attitude items
Distribution of scale soi_r_attitude
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 |
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] |
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.
2.314, 0.352 & 0.333
PC1 | |
---|---|
soi_r_attitude_6r | 0.882 |
soi_r_attitude_4 | 0.875 |
soi_r_attitude_5 | 0.878 |
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 |
Scatterplot
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 |
|
50 | 0.9669 | 1 | 4 | 5 | 3.527 | 1.405 | 6 | ▃▃▁▃▁▆▁▇ |
soi_r_attitude_4 | Sex without love is OK. | haven_labelled |
|
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 |
|
50 | 0.9669 | 1 | 3 | 5 | 2.901 | 1.457 | 6 | ▇▇▁▅▁▇▁▆ |
Reliability: ωordinal [95% CI] = 0.85 [0.84;0.86].
Missing: 93.
Likert plot of scale bfi_consc items
Distribution of scale bfi_consc
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 |
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] |
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.
3.72, 0.942, 0.86, 0.733, 0.659, 0.622, 0.539, 0.499 & 0.426
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
NA | NA | NA | NA | 93 | 0.9385 | 1 | 3 | 5 | 3.125 | 1.1446 | 6 | ▂▆▁▇▁▇▁▃ |
Reliability: ωordinal [95% CI] = 0.88 [0.87;0.89].
Missing: 93.
Likert plot of scale asendorpf_shyness items
Distribution of scale asendorpf_shyness
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 |
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] |
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.
3.205, 0.677, 0.526, 0.334 & 0.259
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
73 | 0.9517 | 1 | 2 | 5 | 2.643 | 1.257 | 6 | ▆▇▁▆▁▅▁▂ |
asendorpf_shyness_3r | I easily approach others. | haven_labelled |
|
73 | 0.9517 | 1 | 2 | 5 | 2.596 | 1.117 | 6 | ▃▇▁▆▁▅▁▁ |
asendorpf_shyness_1 | I feel shy in the presence of others. | haven_labelled |
|
93 | 0.9385 | 1 | 3 | 5 | 2.724 | 1.146 | 6 | ▅▇▁▇▁▅▁▂ |
Reliability: ωordinal [95% CI] = 0.87 [0.86;0.88].
Missing: 93.
Likert plot of scale bfi_neuro items
Distribution of scale bfi_neuro
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 |
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] |
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.
3.913, 0.989, 0.761, 0.565, 0.549, 0.447, 0.415 & 0.361
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
0 | 55 | 93 | 0.9385 | 1 | 3 | 5 | 2.937 | 1.147 | 6 | ▃▇▁▇▁▆▁▃ |
Reliability: ωordinal [95% CI] = 0.67 [0.65;0.7].
Missing: 93.
Likert plot of scale pvd_germ_aversion items
Distribution of scale pvd_germ_aversion
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 |
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] |
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.
1.808, 0.848, 0.677 & 0.667
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 3 | 5 | 2.781 | 1.227 | 6 | ▅▇▁▆▁▆▁▂ |
Reliability: ωordinal [95% CI] = 0.87 [0.86;0.88].
Missing: 93.
Likert plot of scale pvd_infectability items
Distribution of scale pvd_infectability
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 |
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] |
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.
2.264, 0.413 & 0.323
PC1 | |
---|---|
pvd_infectability_1 | 0.888 |
pvd_infectability_3R | 0.857 |
pvd_infectability_2 | 0.860 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
93 | 0.9385 | 1 | 2 | 5 | 2.180 | 1.064 | 6 | ▇▇▁▅▁▂▁▁ |
Reliability: ωordinal [95% CI] = 0.86 [0.84;0.87].
Missing: 570.
Likert plot of scale spms_partner items
Distribution of scale spms_partner
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 |
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] |
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.
2.211, 0.473 & 0.316
PC1 | |
---|---|
spms_partner_1 | 0.863 |
spms_partner_2 | 0.888 |
spms_partner_3R | 0.823 |
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 |
Scatterplot
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 |
|
570 | 0.623 | 1 | 4 | 5 | 3.640 | 0.9904 | 7 | ▁▂▁▆▁▇▁▅ |
spms_partner_2 | Women feel attracted towards my partner. | haven_labelled |
|
570 | 0.623 | 1 | 3 | 5 | 3.384 | 0.9817 | 7 | ▁▃▁▇▁▆▁▃ |
spms_partner_3R | My partner seldomly recieves compliments from women. | haven_labelled |
|
570 | 0.623 | 1 | 3 | 5 | 3.258 | 1.0911 | 7 | ▂▅▁▇▁▇▁▃ |
Reliability: ωordinal [95% CI] = 0.89 [0.88;0.9].
Missing: 99.
Likert plot of scale spms_self items
Distribution of scale spms_self
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 |
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] |
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.
2.329, 0.4 & 0.271
PC1 | |
---|---|
spms_self_1 | 0.885 |
spms_self_2 | 0.903 |
spms_self_3R | 0.854 |
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 |
Scatterplot
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 |
|
99 | 0.9345 | 1 | 4 | 5 | 3.614 | 1.030 | 6 | ▁▂▁▅▁▇▁▃ |
spms_self_2 | Men feel attracted towards me. | haven_labelled |
|
99 | 0.9345 | 1 | 3 | 5 | 3.407 | 1.019 | 6 | ▁▃▁▇▁▇▁▃ |
spms_self_3R | I seldomly recieve compliments from men. | haven_labelled |
|
99 | 0.9345 | 1 | 4 | 5 | 3.475 | 1.155 | 6 | ▂▃▁▅▁▇▁▃ |
Reliability: ωordinal [95% CI] = 0.91 [0.9;0.92].
Missing: 572.
Likert plot of scale relationship_satisfaction items
Distribution of scale relationship_satisfaction
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 |
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] |
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.
3.394, 0.775, 0.358, 0.288 & 0.185
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
NA | NA | NA | NA | 572 | 0.6217 | 1 | 4.5 | 5 | 4.232 | 0.9478 | 7 | ▁▁▁▂▁▅▁▇ |
Reliability: ωordinal [95% CI] = 0.8 [0.78;0.82].
Missing: 572.
Likert plot of scale alternatives items
Distribution of scale alternatives
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 |
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] |
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.
2.76, 0.851, 0.778, 0.582, 0.569 & 0.461
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 |
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 |
Scatterplot
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
572 | 0.6217 | 1 | 3 | 5 | 2.681 | 1.266 | 7 | ▆▇▁▇▁▅▁▃ |
Reliability: ωordinal [95% CI] = 0.67 [0.61;0.73].
Missing: 572.
Likert plot of scale investment items
Distribution of scale investment
Dataframe: | res$dat |
Items: | investment_1, investment_2 & investment_3 |
Observations: | 940 |
Positive correlations: | 3 |
Number of correlations: | 3 |
Percentage positive correlations: | 100 |
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] |
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] |