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_diary = future::value(future({
reliabilities_diary <- codebook::compute_reliabilities(s3_daily, 'repeated_many')
save(reliabilities_diary, file = "codings/reliabilities_new.rdata")
reliabilities_diary
}))
save(reliabilities_diary, 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
Wie sind Sie auf unsere Studie aufmerksam geworden?
Distribution of values for info_study
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 |
---|---|---|---|---|---|---|
select_or_add_one | info_study | Wie sind Sie auf unsere Studie aufmerksam geworden? | 0 | 2 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
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.
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 |
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. |
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 |
---|---|
Ihr Alter
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 |
Ihr Geschlecht
Distribution of values for gender
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | gender | Ihr Geschlecht | 0 | 5 |
name | value |
---|---|
weiblich | 1 |
anderes | 2 |
Item was never rendered for this user. | NA |
anderes:
Distribution of values for gender_other
1658 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gender_other | anderes: | text | character | 1 | gender == 2 | 6 | 1658 | 0.0012 | 2 | 0 | 8 | 49 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | gender_other | anderes: | 1 | gender == 2 | 6 |
name | value |
---|---|
Wie viele Bildungsjahre (Schule, Studium an Universität oder FH, Jahre als Doktorand/in, NICHT Berufsschule etc.) haben Sie hinter sich?
Distribution of values for education_years
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Was ist ihr höchster, bislang erreichter Bildungsgrad
Distribution of values for education_level
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | education_level | Was ist ihr höchster, bislang erreichter Bildungsgrad | 0 | mc_vertical | 8 |
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 |
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.
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 |
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. |
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 |
---|---|
Welchen beruflichen Status haben Sie derzeit?
Distribution of values for occupational_status
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 |
---|---|---|---|---|---|---|---|
mc_multiple | occupational_status | Welchen beruflichen Status haben Sie derzeit? | 0 | 10 |
name | value |
---|---|
1 | not_working |
2 | pupil |
3 | trainee |
4 | student |
5 | homemaker |
6 | employed |
7 | intern |
Welchen Beruf üben Sie aus?
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 | Welchen Beruf üben Sie aus? | 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 |
---|---|
Wie viel Geld haben Sie monatlich zur Verfügung (netto)?
Distribution of values for net_income
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 |
---|---|---|---|---|---|---|---|
mc | net_income | Wie viel Geld haben Sie monatlich zur Verfügung (netto)? | 0 | 12 |
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 |
Was studieren Sie derzeit oder haben Sie studiert?
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 | Was studieren Sie derzeit oder haben Sie studiert? | 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 |
---|---|
Wie lauten die ersten drei Ziffern ihrer Postleitzahl?
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 | Wie lauten die ersten drei Ziffern ihrer Postleitzahl? | 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 |
---|---|
Welcher Religion bzw. welcher Weltanschauung sind Sie zugehörig?
Distribution of values for religion
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 |
---|---|---|---|---|---|---|
select_or_add_one | religion | Welcher Religion bzw. welcher Weltanschauung sind Sie zugehörig? | 0 | 15 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7 | 7 |
Für wie religiös halten Sie sich?
Distribution of values for religiosity
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 1,6,1 | religiosity | Für wie religiös halten Sie sich? | 0 | 16 |
name | value |
---|---|
1: nicht religiös | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6: religiös | 6 |
Item was never rendered for this user. | NA |
Was beschreibt am besten Ihre sexuelle Orientierung?
Distribution of values for sex_orientation
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | sex_orientation | Was beschreibt am besten Ihre sexuelle Orientierung? | 0 | mc_vertical | 17 |
name | value |
---|---|
Ausschließlich heterosexuell | 1 |
Überwiegend heterosexuell, nur gelegentlich homosexuell | 2 |
Überwiegend heterosexuell, aber mehr als gelegentlich homosexuell | 3 |
Gleichermaßen heterosexuell wie homosexuell | 4 |
Überwiegend homosexuell, aber mehr als gelegentlich heterosexuell | 5 |
Überwiegend homosexuell, nur gelegentlich heterosexuell | 6 |
Ausschließlich homosexuell | 7 |
Asexuell oder aromantisch | 8 |
Item was never rendered for this user. | NA |
Wenn Ihnen die obigen Kategorien nicht ausreichen, können Sie es hier in Ihre eigenen Worte fassen.
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 | Wenn Ihnen die obigen Kategorien nicht ausreichen, können Sie es hier in Ihre eigenen Worte fassen. | 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 |
---|---|
Welchen Beziehungsstatus haben Sie?
Distribution of values for relationship_status
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc | relationship_status | Welchen Beziehungsstatus haben Sie? | 0 | mc_vertical | 19 |
name | value |
---|---|
Single | 1 |
lose Beziehung | 2 |
feste Partnerschaft | 3 |
verlobt | 4 |
verheiratet | 5 |
andere | 6 |
Item was never rendered for this user. | NA |
Sind Sie …
Distribution of values for relationship_count
549 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 relationship_count
type | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc | relationship_count | Sind Sie … | 0 | mc_vertical | relationship_status > 1 | 20 |
name | value |
---|---|
monogam (ein Partner) | 1 |
polyamor (mehrere Partner) | 2 |
in einer offenen Beziehung | 3 |
andere | 4 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Sie haben eine Beziehungsform angegeben, die in unserem Fragebogen vielleicht nicht gut erfasst wird. Bitte beschreiben Sie hier Ihre Beziehungsform einfach frei.
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 | Sie haben eine Beziehungsform angegeben, die in unserem Fragebogen vielleicht nicht gut erfasst wird. Bitte beschreiben Sie hier Ihre Beziehungsform einfach frei. | 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 |
---|---|
Jahre
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for duration_relationship_years
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,100 | duration_relationship_years | Jahre | 0 | relationship_status > 1 | 24 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Monate
Distribution of values for duration_relationship_month
549 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Welches Geschlecht hat Ihr Partner?
Distribution of values for partner_gender
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for partner_gender
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | partner_gender | Welches Geschlecht hat Ihr Partner? | 0 | relationship_status > 1 | 26 |
name | value |
---|---|
weiblich | 1 |
männlich | 2 |
anderes | 3 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
anderes:
## Error in if (stats::median(table(x)) == 1) {: missing value where TRUE/FALSE needed
## No non-missing values to show.
1660 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|
partner_gender_other | anderes: | text | character | 1 | partner_gender == 3 | 27 | 1660 | 0 | 0 | 0 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | partner_gender_other | anderes: | 1 | partner_gender == 3 | 27 |
name | value |
---|---|
Wie alt ist Ihr Partner?
Distribution of values for age_partner
549 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Wohnen Sie mit Ihrem Partner zusammen?
Distribution of values for abode_with_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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for abode_with_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | abode_with_partner | Wohnen Sie mit Ihrem Partner zusammen? | 0 | relationship_status > 1 | 29 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wohnen Sie also alleine?
Distribution of values for abode_alone
1455 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 abode_alone
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | abode_alone | Wohnen Sie also alleine? | 0 | abode_flat_share == 1 & abode_with_partner == 0 | 32 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Bitte beschreiben Sie Ihre aktuelle Wohnsituation etwas ausführlicher.
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 | Bitte beschreiben Sie Ihre aktuelle Wohnsituation etwas ausführlicher. | 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 |
---|---|
Haben Sie eine Fernbeziehung?
Distribution of values for long_distance_relationship
1057 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for long_distance_relationship
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | long_distance_relationship | Haben Sie eine Fernbeziehung? | 0 | abode_with_partner == 0 | 34 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie weit wohnen Sie von Ihrem Partner entfernt?
Distribution of values for distance_partner
1397 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 distance_partner
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc | distance_partner | Wie weit wohnen Sie von Ihrem Partner entfernt? | 0 | long_distance_relationship == 1 | 35 |
name | value |
---|---|
< 1 Std. | 1 |
1 - 2 Std. | 2 |
2-3 Std. | 3 |
3 - 5 Std. | 4 |
5 - 9 Std. | 5 |
9 - 12 Std. | 6 |
&gt; 12 Std. | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie viele Tage verbringen Sie im Monat an demselben Ort wie Ihr Partner?
Distribution of values for days_same_place_partner_monthly
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for days_same_place_partner_monthly
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc | days_same_place_partner_monthly | Wie viele Tage verbringen Sie im Monat an demselben Ort wie Ihr Partner? | 0 | relationship_status > 1 | 36 |
name | value |
---|---|
< 3 Tage | 1 |
3 - 4 Tage | 2 |
5 - 6 Tage | 3 |
7 - 14 Tage | 4 |
14-21 Tage | 5 |
21-29 Tage | 6 |
&gt; 29 Tage | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie viele Tage pro Woche verbringen Sie durchschnittlich an demselben Ort wie ihr Partner?
Distribution of values for days_with_partner
549 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 days_with_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 0,7,1 | days_with_partner | Wie viele Tage pro Woche verbringen Sie durchschnittlich an demselben Ort wie ihr Partner? | 0 | relationship_status > 1 | 37 |
name | value |
---|---|
0: Tage | 0 |
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7: Tage | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie viele Nächte pro Woche verbringen Sie durchschnittlich mit Ihrem Partner?
Distribution of values for nights_with_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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for nights_with_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 0,7,1 | nights_with_partner | Wie viele Nächte pro Woche verbringen Sie durchschnittlich mit Ihrem Partner? | 0 | relationship_status > 1 | 38 |
name | value |
---|---|
0: Nächte | 0 |
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7: Nächte | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Haben Sie Kinder?
Distribution of values for has_children
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
mc_button | has_children | Haben Sie Kinder? | 0 | 39 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Wieviele leibliche Kinder haben Sie?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for nr_children
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,20,1 | nr_children | Wieviele leibliche Kinder haben Sie? | 0 | has_children == 1 | 40 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Ist Ihr aktueller Partner der Vater Ihrer Kinder?
Distribution of values for partner_father
1482 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 partner_father
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | partner_father | Ist Ihr aktueller Partner der Vater Ihrer Kinder? | 0 | has_children == 1 | 41 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Hier können Sie andere Angaben zu Ihren Familienverhältnissen, die in unseren Fragebogen sonst nicht passen, ergänzen (bspw. Adoptivkinder).
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 | Hier können Sie andere Angaben zu Ihren Familienverhältnissen, die in unseren Fragebogen sonst nicht passen, ergänzen (bspw. Adoptivkinder). | 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 |
---|---|
Sind Sie aktuell schwanger oder waren Sie es in den letzten drei Monaten?
Distribution of values for pregnant
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | pregnant | Sind Sie aktuell schwanger oder waren Sie es in den letzten drei Monaten? | 0 | 43 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Stillen Sie aktuell oder haben Sie in den letzten drei Monaten gestillt?
Distribution of values for breast_feeding
21 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
mc_button | breast_feeding | Stillen Sie aktuell oder haben Sie in den letzten drei Monaten gestillt? | 0 | 44 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Wenn Sie heute erfahren würden, dass Sie schwanger sind, fänden Sie das…
Distribution of values for pregnant_stress
59 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for pregnant_stress
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 1,6,1 | pregnant_stress | Wenn Sie heute erfahren würden, dass Sie schwanger sind, fänden Sie das… | 0 | pregnant == 0 | 47 |
name | value |
---|---|
1: sehr belastend | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6: sehr erfreulich | 6 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Versuchen Sie derzeit schwanger zu werden?
Distribution of values for pregnant_trying
59 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 pregnant_trying
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 1,6,1 | pregnant_trying | Versuchen Sie derzeit schwanger zu werden? | 0 | pregnant == 0 | 48 |
name | value |
---|---|
1: versuche es zu vermeiden | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6: versuche schwanger zu werden | 6 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Warum nicht?
Distribution of values for wish_for_children
120 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | wish_for_children | Warum nicht? | 0 | mc_vertical left100 | pregnant_trying < 4 | 49 |
name | value |
---|---|
1 | not_actively_trying |
2 | not_in_current_life_situation |
3 | not_with_this_partner |
4 | dont_have_partner |
5 | partner_doesnt_want |
6 | rather_adopt |
7 | cant_imagine_having_kids |
Verhüten Sie üblicherweise, wenn Sie Sex haben (Pille, Kondom, Kalendermethode, coitus interruptus, etc.) ?
Distribution of values for contraception_at_all
59 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_at_all
type | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc | contraception_at_all | Verhüten Sie üblicherweise, wenn Sie Sex haben (Pille, Kondom, Kalendermethode, coitus interruptus, etc.) ? | 0 | mc_vertical | pregnant == 0 | 51 |
name | value |
---|---|
ja | 1 |
meistens | 2 |
ja, aber ich lasse es auch etwas “drauf ankommen” | 3 |
nein, ich lasse es “drauf ankommen” | 4 |
nein, ich habe zur Zeit gar keinen Sex | 5 |
nein, andere Gründe | 6 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Hier können Sie andere Gründe, die in unser Fragebogenformat nicht gut passen, angeben
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 | Hier können Sie andere Gründe, die in unser Fragebogenformat nicht gut passen, angeben | 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 |
---|---|
Wie verhüten Sie zur Zeit üblicherweise?
Sie können mehrere Methoden angeben.
Distribution of values for contraception_method
273 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc_multiple | contraception_method |
Wie verhüten Sie zur Zeit üblicherweise? Sie können mehrere Methoden angeben. |
0 | mc_vertical | contraception_at_all < 4 | 53 |
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 |
Welche andere, nicht in der Liste vorkommende, Methode benutzen Sie?
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 | Welche andere, nicht in der Liste vorkommende, Methode benutzen Sie? | 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 |
---|---|
Sie haben angegeben, mehrere Verhütungsmethoden zu kombinieren. Aus welchem Grund, oder welchen Gründen tun Sie das?
Distribution of values for contraception_combi
1197 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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 | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc_multiple | contraception_combi | Sie haben angegeben, mehrere Verhütungsmethoden zu kombinieren. Aus welchem Grund, oder welchen Gründen tun Sie das? | 0 | mc_vertical | contraception_method %contains% “,” | 55 |
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 |
anderer Grund:
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 | anderer Grund: | 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 |
---|---|
Distribution of values for contraception_calendar_abstinence
1520 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
contraception_calendar_abstinence | character | 1520 | 0.0843 | 10 | 0 | 8 | 38 | 0 | NA |
Wie heißt Ihre Anti-Baby-Pille?
Falls Sie ein <abbr title=“Eine wirkstoffgleiche Kopie, Nachahmerpräparat, bspw. Dienovel=Valette” class=“hastooltip”>Generikum</abbr> nehmen und es in dieser Liste fehlt, können Sie gerne den Markennamen angeben.
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 |
Wie heißt Ihre Anti-Baby-Pille? Falls Sie ein <abbr title=“Eine wirkstoffgleiche Kopie, Nachahmerpräparat, bspw. Dienovel=Valette” class=“hastooltip”>Generikum</abbr> nehmen und es in dieser Liste fehlt, können Sie gerne den Markennamen angeben. |
haven_labelled | 1086 | 0.3458 | 69 | 0 | 3 | NA | 19 | 0 | 97 |
Sie haben angegeben, dass Ihre Pille in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihrer Pille.
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 | Sie haben angegeben, dass Ihre Pille in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihrer Pille. | 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 |
---|---|
Welches hormonelle Verhütungsmittel verwenden Sie?
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 | Welches hormonelle Verhütungsmittel verwenden Sie? | 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 |
Sie haben angegeben, dass Ihr Verhütungsmittel in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihres Verhütungsmittels.
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 | Sie haben angegeben, dass Ihr Verhütungsmittel in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihres Verhütungsmittels. | 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 |
---|---|
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.
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for contraception_pill_estrogen
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,100,1 | contraception_pill_estrogen | Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (µg) Östrogen Ihre Pille enthält. Die meisten Pillen enthalten zwischen 0 und 50 Mikrogramm Östrogen. Manchmal wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten. | 0 | contraception_hormonal_pill == ‘other’ | 62 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, welcher Typ Gestagen verwendet wird.
Distribution of values for contraception_pill_gestagen_type
1581 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | contraception_pill_gestagen_type | Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, welcher Typ Gestagen verwendet wird. | 0 | mc_vertical left500 | contraception_hormonal_pill == ‘other’ | 63 |
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 |
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.
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for contraception_pill_gestagen
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,4000,1 | contraception_pill_gestagen | Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (µg) des jeweiligen Gestagens Ihre Pille enthält. Die meisten Pillen enthalten zwischen 50 und 3000 Mikrogramm Gestagen. Häufig wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten. | 0 | contraception_hormonal_pill == ‘other’ | 64 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (µg) Östrogen Ihr Verhütungsmittel enthält. Die meisten Verhütungsmittel enthalten zwischen 0 und 50 Mikrogramm Östrogen. Manchmal wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.
Distribution of values for contraception_other_estrogen
1581 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, welcher Typ Gestagen verwendet wird.
Distribution of values for contraception_other_gestagen_type
1581 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | contraception_other_gestagen_type | Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, welcher Typ Gestagen verwendet wird. | 0 | mc_vertical left500 | contraception_hormonal_pill == ‘other’ | 66 |
name | value |
---|---|
1 | CMA |
2 | CPA |
3 | DNG |
4 | DSG |
5 | DSP |
6 | GSD |
7 | LYN |
8 | LNG |
9 | NEA |
10 | NES |
11 | NGT |
12 | other_gestagen |
Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (µg) des jeweiligen Gestagens Ihr Verhütungsmittel enthält. Die meisten Verhütungsmittel enthalten zwischen 50 und 3000 Mikrogramm Gestagen. Häufig wird die Gewichtsangabe auch in Milligramm (mg) gemacht. Diese Zahl müssen Sie dann mit 1000 multiplizieren, um Mikrogramm (µg) zu erhalten.
Distribution of values for contraception_other_gestagen
1581 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Benutzen Sie eine Zyklus-App?
Distribution of values for contraception_app
36 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | contraception_app | Benutzen Sie eine Zyklus-App? | 0 | 68 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Wie heißt diese App?
Distribution of values for contraception_app_name
1249 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
contraception_app_name | Wie heißt diese App? | text | character | 0 | contraception_app == 1 | 69 | 1249 | 0.2476 | 173 | 0 | 3 | 91 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | contraception_app_name | Wie heißt diese App? | 0 | contraception_app == 1 | 69 |
name | value |
---|---|
Haben Sie in den letzten drei Monaten hormonell verhütet?
Distribution of values for hormonal_contraception_last3m
36 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
mc_button | hormonal_contraception_last3m | Haben Sie in den letzten drei Monaten hormonell verhütet? | 0 | 70 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Haben Sie hormonell verhütet (z.B. Pille), als Sie Ihren Partner kennengelernt haben?
Distribution of values for contraception_meeting_partner
560 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for contraception_meeting_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | contraception_meeting_partner | Haben Sie hormonell verhütet (z.B. Pille), als Sie Ihren Partner kennengelernt haben? | 0 | relationship_status > 1 | 71 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Bitte beurteilen Sie Ihren allgemeinen Gesundheitszustand zum jetzigen Zeitpunkt.
Distribution of values for self_rated_health
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc | self_rated_health | Bitte beurteilen Sie Ihren allgemeinen Gesundheitszustand zum jetzigen Zeitpunkt. | 0 | 75 |
name | value |
---|---|
sehr gut | 1 |
gut | 2 |
teils gut/teils schlecht | 3 |
schlecht | 4 |
sehr schlecht | 5 |
Item was never rendered for this user. | NA |
Bitte geben Sie Ihre Körpergröße in cm an (ohne Schuhe).
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 80,230 | height | Bitte geben Sie Ihre Körpergröße in cm an (ohne Schuhe). | 0 | 76 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Bitte geben Sie Ihr Gewicht in kg an (ohne Kleidung).
Distribution of values for weight
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Haben Sie in den letzten 3 Monaten hormonelle Medikamente (außer Verhütung) genommen?
Distribution of values for hormonal_med
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | hormonal_med | Haben Sie in den letzten 3 Monaten hormonelle Medikamente (außer Verhütung) genommen? | 0 | 78 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Welche?
Distribution of values for hormonal_med_name
1548 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|
select_or_add_multiple | hormonal_med_name | Welche? | 0 | hormonal_med == 1 | 79 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
Nehmen Sie psychoaktive Medikamente (z. B. gegen Depression)?
Distribution of values for psychoactive_med
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc_button | psychoactive_med | Nehmen Sie psychoaktive Medikamente (z. B. gegen Depression)? | 0 | 80 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Welche?
Distribution of values for psychoactive_med_name
1605 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
psychoactive_med_name | Welche? | text | character | 0 | psychoactive_med ==1 | 81 | 1605 | 0.0331 | 44 | 0 | 5 | 51 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
text | psychoactive_med_name | Welche? | 0 | psychoactive_med ==1 | 81 |
name | value |
---|---|
Wie viel Gläser Alkohol trinken Sie im Schnitt in der Woche?
Distribution of values for alcohol_weekly
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Wie viele Zigaretten rauchen Sie im Schnitt am Tag?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,100,1 | cigarettes_daily | Wie viele Zigaretten rauchen Sie im Schnitt am Tag? | 0 | 83 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Wie viele Stunden pro Woche treiben Sie schweißtreibenden Sport?
Distribution of values for sport_weekly
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Wenn Sie Sport treiben – welche Sportarten sind dies typischerweise? <small><em>Wählen Sie aus der Liste der vorgeschlagenen Sportarten aus und/oder fügen Sie „Ihre“ Sportart(en) hinzu. Sie können mehrere Sportarten angeben oder auch gar keine.</em></small>
Distribution of values for sport_kinds
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
select_or_add_multiple | sport_kinds | Wenn Sie Sport treiben – welche Sportarten sind dies typischerweise? <small><em>Wählen Sie aus der Liste der vorgeschlagenen Sportarten aus und/oder fügen Sie „Ihre“ Sportart(en) hinzu. Sie können mehrere Sportarten angeben oder auch gar keine.</em></small> | 0 | 85 |
name | value |
---|---|
1 | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5 | 5 |
6 | 6 |
7 | 7 |
Essen Sie Fleisch und tierische Produkte?
Distribution of values for meat_eating
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
mc | meat_eating | Essen Sie Fleisch und tierische Produkte? | 0 | 86 |
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 |
Wie alt waren Sie, als Sie Ihre erste Monatsblutung (Periode, Tage, Menstruation) hatten?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 8,20 | menarche | Wie alt waren Sie, als Sie Ihre erste Monatsblutung (Periode, Tage, Menstruation) hatten? | 0 | 87 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for menarche_certainty
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menarche_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | 88 |
name | value |
---|---|
stimmt genau | 1 |
±0.5 Jahre | 2 |
±1 Jahr | 3 |
±2 Jahre | 4 |
±3 Jahre | 5 |
±4 Jahre | 6 |
unsicherer | 7 |
Item was never rendered for this user. | NA |
Mit wie vielen Personen haben Sie insgesamt in Ihrem Leben Geschlechtsverkehr gehabt?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 0,400 | number_sexual_partner | Mit wie vielen Personen haben Sie insgesamt in Ihrem Leben Geschlechtsverkehr gehabt? | 0 | 89 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for number_sexual_partner_certainty
53 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | number_sexual_partner_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | 90 |
name | value |
---|---|
stimmt genau | 1 |
±1 | 2 |
±2 | 3 |
±3 | 4 |
±5 | 5 |
±10 | 6 |
±20 | 7 |
unsicherer | 8 |
Item was never rendered for this user. | NA |
Wie alt waren Sie, als Sie das erste Mal Geschlechtsverkehr hatten?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for first_time
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
number | first_time | Wie alt waren Sie, als Sie das erste Mal Geschlechtsverkehr hatten? | 0 | number_sexual_partner > 0 | 91 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for first_time_certainty
134 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | first_time_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | number_sexual_partner > 0 | 92 |
name | value |
---|---|
stimmt genau | 1 |
±0.5 Jahre | 2 |
±1 Jahr | 3 |
±2 Jahre | 4 |
±3 Jahre | 5 |
±4 Jahre | 6 |
unsicherer | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Hat Ihre Mutter die Menopause erreicht?
Distribution of values for mother_menopause_yes
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | mother_menopause_yes | Hat Ihre Mutter die Menopause erreicht? | 0 | 93 |
name | value |
---|---|
Ja | 1 |
Nein, ist zur Zeit in den Wechseljahren | 2 |
Nein, noch nicht | 3 |
Nein, vorher verstorben | 4 |
Item was never rendered for this user. | NA |
Wie alt war Ihre Mutter beim Einsetzen ihrer Menopause?
Wenn Sie es den Zeitpunkt nicht genau benennen können, versuchen Sie sich zu erinnern, wann Ihre Mutter über typische Begleiterscheinungen (z.B. Hitzewallungen, etc.) gesprochen hat. Idealerweise fragen Sie Ihre Mutter kurz (telefonisch), aber Sie können auch fortfahren, ohne dies zu tun, wenn es grade nicht geht.
Distribution of values for mother_menopause_age
895 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for mother_menopause_certainty
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for mother_menopause_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | mother_menopause_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | mother_menopause_yes == 1 | 95 |
name | value |
---|---|
stimmt genau <small>(ich habe sie gefragt)</small> | 1 |
±0.5 Jahre | 2 |
±1 Jahr | 3 |
±2 Jahre | 4 |
±3 Jahre | 5 |
±4 Jahre | 6 |
unsicherer <small>(ich habe geraten)</small> | 7 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Ist bei Ihnen selbst die Menopause eingetreten?
Distribution of values for menopause_yes
1597 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_yes
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menopause_yes | Ist bei Ihnen selbst die Menopause eingetreten? | 0 | age > 43 | 96 |
name | value |
---|---|
Ja | 1 |
Nein, bin zur Zeit in den Wechseljahren | 2 |
Nein, noch nicht | 3 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie alt waren Sie selbst zum Eintritt Ihrer Menopause?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for menopause_age
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 30,60 | menopause_age | Wie alt waren Sie selbst zum Eintritt Ihrer Menopause? | 0 | menopause_yes == 1 | 97 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for menopause_certainty
1637 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menopause_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | menopause_yes == 1 | 98 |
name | value |
---|---|
stimmt genau | 1 |
±0.5 Jahre | 2 |
±1 Jahr | 3 |
±2 Jahre | 4 |
±3 Jahre | 5 |
±4 Jahre | 6 |
±7 Jahre | 7 |
unsicherer | 8 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Haben Sie zur Zeit regelmäßig (ungefähr monatlich) Ihre Periode?
Distribution of values for menstruation_regular
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 |
---|---|---|---|---|---|---|---|
mc_button | menstruation_regular | Haben Sie zur Zeit regelmäßig (ungefähr monatlich) Ihre Periode? | 0 | 99 |
name | value |
---|---|
Nein | 0 |
Ja | 1 |
Item was never rendered for this user. | NA |
Nennen Sie bitte den ersten Tag (Start) Ihrer letzten Periode (Menstruationsblutung). Wenn möglich schauen Sie das Datum bitte in Ihrem Kalender nach.
## 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 | Nennen Sie bitte den ersten Tag (Start) Ihrer letzten Periode (Menstruationsblutung). Wenn möglich schauen Sie das Datum bitte in Ihrem Kalender nach. | 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 |
---|---|
Wie sicher sind Sie bei dieser Angabe?
Distribution of values for menstruation_last_certainty
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_last_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menstruation_last_certainty | Wie sicher sind Sie bei dieser Angabe? | 0 | menstruation_regular == 1 | 101 |
name | value |
---|---|
stimmt genau | 1 |
±1 Tag | 2 |
±2 Tage | 3 |
±3 Tage | 4 |
±4 Tage | 5 |
±5 Tage | 6 |
±6 Tage | 7 |
unsicherer | 8 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie lange dauert Ihr Menstruationszyklus (Tage vom Beginn einer Monatsblutung bis zum Beginn der nächsten Monatsblutung; meist zwischen 25-35 Tagen)?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for menstruation_length
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
number | 15,50,1 | menstruation_length | Wie lange dauert Ihr Menstruationszyklus (Tage vom Beginn einer Monatsblutung bis zum Beginn der nächsten Monatsblutung; meist zwischen 25-35 Tagen)? | 0 | menstruation_regular == 1 | 102 |
name | value |
---|---|
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for menstruation_length_certainty
355 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menstruation_length_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | menstruation_regular == 1 | 103 |
name | value |
---|---|
stimmt genau | 1 |
±1 Tag | 2 |
±2 Tage | 3 |
±3 Tage | 4 |
±4 Tage | 5 |
±5 Tage | 6 |
±6 Tage | 7 |
unsicherer | 8 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie regelmäßig war in den letzten 3 Monaten Ihr Menstruationszyklus?
Distribution of values for menstruation_regularity
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for menstruation_regularity
type | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc | menstruation_regularity | Wie regelmäßig war in den letzten 3 Monaten Ihr Menstruationszyklus? | 0 | mc_vertical | menstruation_regular == 1 | 104 |
name | value |
---|---|
Völlig (gar keine Schwankungen) | 1 |
Sehr (max. 1-2 Tage Schwankungen) | 2 |
Etwas (3-5 Tage Schwankungen) | 3 |
Kaum (über 5 Tage Schwankungen) | 4 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Wie sicher sind Sie sich bei dieser Angabe?
Distribution of values for menstruation_regularity_certainty
355 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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_regularity_certainty
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
mc_button | menstruation_regularity_certainty | Wie sicher sind Sie sich bei dieser Angabe? | 0 | menstruation_regular == 1 | 105 |
name | value |
---|---|
stimmt genau | 1 |
±1 Tag | 2 |
±2 Tage | 3 |
±3 Tage | 4 |
±4 Tage | 5 |
±5 Tage | 6 |
±6 Tage | 7 |
unsicherer | 8 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
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>
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 |
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> |
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 | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
hetero_relationship | numeric | 36 | 0.9783 | 0 | 1 | 1 | 0.6718 | 0.4697 | ▃▁▁▁▇ | NA |
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": "Wie sind Sie auf unsere Studie aufmerksam geworden?",
"value": "1. Einladung durch das Studienteam,\n2. Aushänge Georg-August-Universität Göttingen,\n3. Privater Kontakt,\n4. www.psytests.de,\n5. Medien,\n6. andere",
"maxValue": "6",
"minValue": "1",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "lab_code",
"description": "Nehmen Sie auch an unserer Laborstudie _Attraktivitätsbeurteilungen_ in Göttingen teil und haben einen Code für diese Studie erhalten? \nWenn ja, geben Sie bitte hier unbedingt Ihren persönlichen Code ein.\nWenn nein, lassen Sie dieses Feld einfach aus.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "age",
"description": "Ihr Alter",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "gender",
"description": "Ihr Geschlecht",
"value": "1. weiblich,\n2. anderes,\nNA. Item was never rendered for this user.",
"maxValue": 2,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "gender_other",
"description": "anderes:",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "education_years",
"description": "Wie viele Bildungsjahre (Schule, Studium an Universität oder FH, Jahre als Doktorand/in, NICHT Berufsschule etc.) haben Sie hinter sich?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "education_level",
"description": "Was ist ihr höchster, bislang erreichter Bildungsgrad",
"value": "0_not_finished. ohne Schulabschluss,\n1_hauptschule. Hauptschulabschluss,\n2_realschule. Realschulabschluss,\n3_polytechnic. Abschluss der polytechnischen Oberschule,\n4_professional_school. Berufsschulabschluss,\n5_fachabitur. Fachhochschulreife,\n6_abitur. Hochschulreife,\n7_vocational_uni_bachelor. Fachhochschulabschluss Bachelor,\n8_uni_bachelor. Hochschulabschluss Bachelor,\n9_vocational_uni_master_level. Fachhochschulabschluss Master/Magister/Diplom,\n10_uni_master_level. Hochschulabschluss Master/Magister/Diplom,\n11_uni_doctorate. Promotion,\n12_uni_habilitation. Habilitation",
"maxValue": "9_vocational_uni_master_level",
"minValue": "0_not_finished",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "education_level_special",
"description": "Haben Sie einen Bildungsgrad, der sich hier nicht gut einsortieren lässt (bspw. Meister)?\nWenn die obige Liste nicht ausreicht, können Sie das hier frei ergänzen.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "occupational_status",
"description": "Welchen beruflichen Status haben Sie derzeit? ",
"value": "not_working. nicht berufstätig,\npupil. Schülerin,\ntrainee. Auszubildende,\nstudent. Studentin,\nhomemaker. Haus- und Familienarbeit ,\nemployed. Berufstätig,\nintern. Praktikantin",
"maxValue": "trainee",
"minValue": "employed",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "occupation",
"description": "Welchen Beruf üben Sie aus?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "net_income",
"description": "Wie viel Geld haben Sie monatlich zur Verfügung (netto)?",
"value": "euro_lt_500. < 500€,\neuro_500_1000. 500-1000€,\neuro_1000_2000. 1000-2000€,\neuro_2000_3000. 2000-3000€,\neuro_gt_3000. \\> 3000€,\ndont_tell. möchte ich nicht angeben",
"maxValue": "euro_lt_500",
"minValue": "dont_tell",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "study_major",
"description": "Was studieren Sie derzeit oder haben Sie studiert?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "postal_code",
"description": "Wie lauten die ersten drei Ziffern ihrer Postleitzahl?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "religion",
"description": "Welcher Religion bzw. welcher Weltanschauung sind Sie zugehörig? ",
"value": "1. Christentum ,\n2. Islam,\n3. Buddhismus,\n4. Hinduismus,\n5. Judentum ,\n6. andere ,\n7. nicht gläubig",
"maxValue": "7",
"minValue": "1",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "religiosity",
"description": "Für wie religiös halten Sie sich? ",
"value": "1. 1: nicht religiös,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: religiös,\nNA. Item was never rendered for this user.",
"maxValue": 6,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "sex_orientation",
"description": "Was beschreibt am besten Ihre sexuelle Orientierung?",
"value": "1. Ausschließlich heterosexuell,\n2. Überwiegend heterosexuell, nur gelegentlich homosexuell,\n3. Überwiegend heterosexuell, aber mehr als gelegentlich homosexuell,\n4. Gleichermaßen heterosexuell wie homosexuell,\n5. Überwiegend homosexuell, aber mehr als gelegentlich heterosexuell,\n6. Überwiegend homosexuell, nur gelegentlich heterosexuell,\n7. Ausschließlich homosexuell,\n8. Asexuell oder aromantisch,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "sex_orientation_special",
"description": "Wenn Ihnen die obigen Kategorien nicht ausreichen, können Sie es hier in Ihre eigenen Worte fassen.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "relationship_status",
"description": "Welchen Beziehungsstatus haben Sie?",
"value": "1. Single,\n2. lose Beziehung,\n3. feste Partnerschaft,\n4. verlobt,\n5. verheiratet,\n6. andere,\nNA. Item was never rendered for this user.",
"maxValue": 6,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "relationship_count",
"description": "Sind Sie ...",
"value": "1. monogam (ein Partner),\n2. polyamor (mehrere Partner),\n3. in einer offenen Beziehung,\n4. andere,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 4,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "relationship_details",
"description": "Sie haben eine Beziehungsform angegeben, die in unserem Fragebogen vielleicht nicht gut erfasst wird. Bitte beschreiben Sie hier Ihre Beziehungsform einfach frei.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "duration_relationship_years",
"description": "Jahre",
"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": "Monate",
"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": "Welches Geschlecht hat Ihr Partner?",
"value": "1. weiblich,\n2. männlich,\n3. anderes,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 3,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "partner_gender_other",
"description": "anderes:",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "age_partner",
"description": "Wie alt ist Ihr 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": "Wohnen Sie mit Ihrem Partner zusammen?",
"value": "0. Nein,\n1. Ja,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "abode_flat_share",
"description": "Wohnen Sie in einer Wohngemeinschaft (abgesehen von Partner)?",
"value": "1. nein,\n2. mit Eltern/Großeltern,\n3. ja,\nNA. Item was never rendered for this user.",
"maxValue": 3,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "abode_flat_share_description",
"description": "Mit wem wohnen Sie zusammen?\n\nNutzen Sie bitte dieses offene Feld, um uns Angaben über Ihre Mitbewohner zu machen.\nAm einfachsten ist es für uns, wenn Sie einfach Geschlecht, Alter und gegebenenfalls Verwandtschaftsstatus angeben, bspw. so:\n\n w,55,Mutter\n w,26,Schwester\n m,30,Bruder\n\nSich selbst und Ihren Partner (ggf.) müssen Sie nicht extra nennen.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "abode_alone",
"description": "Wohnen Sie also alleine?",
"value": "0. Nein,\n1. Ja,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "abode_special_case_description",
"description": "Bitte beschreiben Sie Ihre aktuelle Wohnsituation etwas ausführlicher.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "long_distance_relationship",
"description": "Haben Sie eine Fernbeziehung?",
"value": "0. Nein,\n1. Ja,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "distance_partner",
"description": "Wie weit wohnen Sie von Ihrem Partner entfernt?",
"value": "1. < 1 Std.,\n2. 1 - 2 Std.,\n3. 2-3 Std.,\n4. 3 - 5 Std.,\n5. 5 - 9 Std.,\n6. 9 - 12 Std.,\n7. \\> 12 Std.,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "days_same_place_partner_monthly",
"description": "Wie viele Tage verbringen Sie im Monat an demselben Ort wie Ihr Partner?",
"value": "1. < 3 Tage,\n2. 3 - 4 Tage,\n3. 5 - 6 Tage,\n4. 7 - 14 Tage,\n5. 14-21 Tage,\n6. 21-29 Tage,\n7. \\> 29 Tage,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "days_with_partner",
"description": "Wie viele Tage pro Woche verbringen Sie durchschnittlich an demselben Ort wie ihr Partner?",
"value": "0. 0: Tage,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: Tage,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "nights_with_partner",
"description": "Wie viele Nächte pro Woche verbringen Sie durchschnittlich mit Ihrem Partner?",
"value": "0. 0: Nächte,\n1. 1,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6,\n7. 7: Nächte,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "has_children",
"description": "Haben Sie Kinder?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "nr_children",
"description": "Wieviele leibliche Kinder haben Sie?",
"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": "Ist Ihr aktueller Partner der Vater Ihrer Kinder?",
"value": "0. Nein,\n1. Ja,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "family_description_optional",
"description": "Hier können Sie andere Angaben zu Ihren Familienverhältnissen, die in unseren Fragebogen sonst nicht passen, ergänzen (bspw. Adoptivkinder).",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "pregnant",
"description": "Sind Sie aktuell schwanger oder waren Sie es in den letzten drei Monaten?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "breast_feeding",
"description": "Stillen Sie aktuell oder haben Sie in den letzten drei Monaten gestillt?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "pregnant_stress",
"description": "Wenn Sie heute erfahren würden, dass Sie schwanger sind, fänden Sie das...",
"value": "1. 1: sehr belastend,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: sehr erfreulich,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 6,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "pregnant_trying",
"description": "Versuchen Sie derzeit schwanger zu werden?",
"value": "1. 1: versuche es zu vermeiden,\n2. 2,\n3. 3,\n4. 4,\n5. 5,\n6. 6: versuche schwanger zu werden,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 6,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "wish_for_children",
"description": "Warum nicht?",
"value": "not_actively_trying. Ich könnte mir vorstellen, demnächst schwanger zu werden, aber versuche es zur Zeit nicht aktiv.,\nnot_in_current_life_situation. `r ifelse(relationship_status == 1, 'Ich könnte mir vorstellen schwanger zu werden, aber eher nicht in meiner derzeitigen Lebenssituation.', 'Ich könnte mir vorstellen mit meinem aktuellen Partner schwanger zu werden, aber eher nicht in meiner derzeitigen Lebenssituation.')`,\nnot_with_this_partner. `r ifelse(relationship_status == 1, '', 'Ich könnte mir vorstellen schwanger zu werden, aber eher nicht mit meinem aktuellen Partner.')`,\ndont_have_partner. `r ifelse(relationship_status == 1, 'Ich könnte mir vorstellen schwanger zu werden, aber habe keinen Partner, der in Frage käme.', '')`,\npartner_doesnt_want. `r ifelse(relationship_status == 1, '', 'Ich könnte mir vorstellen schwanger zu werden, aber mein Partner möchte das nicht.')`,\nrather_adopt. Ich möchte Kinder, aber möchte eher adoptieren / Pflegekinder aufnehmen.,\ncant_imagine_having_kids. Ich kann mir nicht vorstellen, jemals Kinder zu bekommen.",
"maxValue": "rather_adopt",
"minValue": "cant_imagine_having_kids",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_at_all",
"description": "Verhüten Sie üblicherweise, wenn Sie Sex haben (Pille, Kondom, Kalendermethode, coitus interruptus, etc.) ?",
"value": "1. ja,\n2. meistens,\n3. ja, aber ich lasse es auch etwas \"drauf ankommen\",\n4. nein, ich lasse es \"drauf ankommen\",\n5. nein, ich habe zur Zeit gar keinen Sex,\n6. nein, andere Gründe,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 6,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_other_reasons_not_to",
"description": "Hier können Sie andere Gründe, die in unser Fragebogenformat nicht gut passen, angeben",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_method",
"description": "Wie verhüten Sie zur Zeit üblicherweise?\n\nSie können mehrere Methoden angeben.",
"value": "hormonal_pill. Orale Kontrazeptiva (Pille),\nhormonal_other. andere hormonelle Verhütung (Depotspritze, Hormonimplantat, Verhütungsring, Verhütungspflaster, Hormonspirale),\nbarrier_condoms. Kondome,\nbarrier_other. Andere Barrieremethoden (Diaphragma, Frauenkondom, Portiokappe),\nbarrier_intrauterine_pessar. Kupferspirale oder -kette (Intrauterinpessar),\nbarrier_coitus_interruptus. Coitus interruptus,\nbarrier_no_penetrative_sex. Verzicht auf penetrativen Geschlechtsverkehr,\nawareness_calendar. Kalendermethode,\nawareness_temperature_billings. Temperatur- / Billings- / Symptothermale Methode,\nawareness_computer. Verhütungscomputer (Persona, LadyComp, Cyclotest, …),\nbarrier_spermicide. Spermizide,\nbarrier_chemical. Chemische Verhütung,\nhormonal_morning_after_pill. \"Pille danach\",\nbreast_feeding. Stillen,\ninfertile. ich bin unfruchtbar,\npartner_infertile. mein Partner ist unfruchtbar,\nsterilised. ich bin sterilisiert,\npartner_sterilised. mein Partner ist sterilisiert,\nnot_listed. Andere",
"maxValue": "sterilised",
"minValue": "awareness_calendar",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_method_other",
"description": "Welche andere, nicht in der Liste vorkommende, Methode benutzen Sie?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_combi",
"description": "Sie haben angegeben, mehrere Verhütungsmethoden zu kombinieren. Aus welchem Grund, oder welchen Gründen tun Sie das?",
"value": "multiple_to_decrease_infection_risk. immer mehrere gleichzeitig (Verhütung + sexuelle übertragbare Krankheiten vermeiden),\nmultiple_to_decrease_conception_risk. immer mehrere gleichzeitig (Verhütungssicherheit erhöhen),\nfallback_if_forgotten. falle auf zweite Methode zurück, wenn ich oder mein Partner die erste vergessen habe zu nehmen/ zu kaufen (z.B. Pille + Kondome, oder Kondome + Koitus interruptus),\nfallback_if_fertile. falle auf zweite Methode zurück, wenn ich fruchtbar bin (z.B. Kalendermethode + Kondome oder Koitus interruptus im fruchtbaren Fenster),\nbarrier_if_partner_sick. eine Methode zur Verhütung, andere zur Vermeidung von nicht-sexueller Ansteckung (z.B. Pille + Abstinenz, wenn Geschlechtspartner gerade erkältet),\ndifferent_methods_for_different_partners. eine Methode für bestimmte Partner, andere Methode für andere Partner (z.B. Pille bei Sex mit gut bekannter/vertrauter Person, Kondome bei Sex mit weniger gut bekannter Person),\nother. anderer Grund",
"maxValue": "other",
"minValue": "barrier_if_partner_sick",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_method_combination_other",
"description": "anderer Grund: ",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_calendar_abstinence",
"@type": "propertyValue"
},
{
"name": "contraception_hormonal_pill",
"description": "Wie heißt Ihre Anti-Baby-Pille?\n\nFalls Sie ein <abbr title=\"Eine wirkstoffgleiche Kopie, Nachahmerpräparat, bspw. Dienovel=Valette\" class=\"hastooltip\">Generikum<\/abbr> nehmen und es in dieser Liste fehlt, können Sie gerne den Markennamen angeben.",
"value": "other. Meine Pille kommt in dieser Liste nicht vor.,\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": "Sie haben angegeben, dass Ihre Pille in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihrer Pille.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_hormonal_other",
"description": "Welches hormonelle Verhütungsmittel verwenden Sie?",
"value": "nuvaring. NuvaRing,\ncirclet. Circlet,\nevra. Evra,\nmirena. Mirena,\ndepo_provera. Depo Provera,\ndepo_clinovir. Depo Clinovir,\nimplanon. Implanon NXT,\nother. Der Name meines Verhütungsmittels kommt in dieser Liste nicht vor.",
"maxValue": "other",
"minValue": "circlet",
"@type": "propertyValue"
},
{
"name": "contraception_hormonal_other_name",
"description": "Sie haben angegeben, dass Ihr Verhütungsmittel in der Liste nicht vorkommt. Bitte nennen Sie hier den Namen Ihres Verhütungsmittels.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_pill_estrogen",
"description": "Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (*µ*g) 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 (*µ*g) zu erhalten.",
"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": "Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, welcher Typ Gestagen verwendet wird.",
"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. Kommt in dieser Liste nicht vor.",
"maxValue": "other_gestagen",
"minValue": "CMA",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_pill_gestagen",
"description": "Bitte lesen Sie in der Packungsbeilage Ihrer Pille nach, wieviel Mikrogramm (*µ*g) 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 (*µ*g) zu erhalten.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
"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": "Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (*µ*g) 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 (*µ*g) zu erhalten. ",
"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": "Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, welcher Typ Gestagen verwendet wird.",
"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. Kommt in dieser Liste nicht vor.",
"maxValue": "other_gestagen",
"minValue": "CMA",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_other_gestagen",
"description": "Bitte lesen Sie in der Packungsbeilage Ihres Verhütungsmittels nach, wieviel Mikrogramm (*µ*g) 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 (*µ*g) zu erhalten.",
"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": "Benutzen Sie eine Zyklus-App? ",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_app_name",
"description": "Wie heißt diese App?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "hormonal_contraception_last3m",
"description": "Haben Sie in den letzten drei Monaten hormonell verhütet?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "contraception_meeting_partner",
"description": "Haben Sie hormonell verhütet (z.B. Pille), als Sie Ihren Partner kennengelernt haben?",
"value": "0. Nein,\n1. Ja,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "self_rated_health",
"description": "Bitte beurteilen Sie Ihren allgemeinen Gesundheitszustand zum jetzigen Zeitpunkt.",
"value": "1. sehr gut,\n2. gut,\n3. teils gut/teils schlecht,\n4. schlecht,\n5. sehr schlecht,\nNA. Item was never rendered for this user.",
"maxValue": 5,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "height",
"description": "Bitte geben Sie Ihre Körpergröße in cm an (ohne Schuhe).",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "weight",
"description": "Bitte geben Sie Ihr Gewicht in kg an (ohne Kleidung).",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "hormonal_med",
"description": "Haben Sie in den letzten 3 Monaten hormonelle Medikamente (außer Verhütung) genommen?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "hormonal_med_name",
"description": "Welche?",
"value": "1. Insulin,\n2. Thyroxin,\n3. Escitalopram,\n4. Mönchspfeffer",
"maxValue": "4",
"minValue": "1",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "psychoactive_med",
"description": "Nehmen Sie psychoaktive Medikamente (z. B. gegen Depression)?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "psychoactive_med_name",
"description": "Welche?",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "alcohol_weekly",
"description": "Wie viel Gläser Alkohol trinken Sie im Schnitt in der Woche?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "cigarettes_daily",
"description": "Wie viele Zigaretten rauchen Sie im Schnitt am Tag?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "sport_weekly",
"description": "Wie viele Stunden pro Woche treiben Sie schweißtreibenden Sport?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "sport_kinds",
"description": "Wenn Sie Sport treiben – welche Sportarten sind dies typischerweise?\n<small><em>Wählen Sie aus der Liste der vorgeschlagenen Sportarten aus und/oder fügen Sie „Ihre“ Sportart(en) hinzu. Sie können mehrere Sportarten angeben oder auch gar keine.<\/em><\/small>",
"value": "1. Laufen,\n2. Schwimmen,\n3. Fitness-/Krafttraining (Geräte),\n4. Aerobic (z.B. Step Aerobic; Zumba),\n5. Klettern/Bouldern,\n6. Yoga,\n7. Mannschaftssport (z.B. Hand-;Volley-; Fussball)",
"maxValue": "7",
"minValue": "1",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "meat_eating",
"description": "Essen Sie Fleisch und tierische Produkte?",
"value": "1_every_day. ja, sehr viel,\n2_frequently. ja, oft,\n3_rarely. ja, selten,\n4_only_poultry. nur Geflügel,\n5_only_fish. nur Fisch,\n6_vegetarian. nein, Vegetarierin,\n7_vegan. nein, Veganerin",
"maxValue": "7_vegan",
"minValue": "1_every_day",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menarche",
"description": "Wie alt waren Sie, als Sie Ihre erste Monatsblutung (Periode, Tage, Menstruation) hatten?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menarche_certainty",
"description": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±0.5 Jahre,\n3. ±1 Jahr,\n4. ±2 Jahre,\n5. ±3 Jahre,\n6. ±4 Jahre,\n7. unsicherer,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "number_sexual_partner",
"description": "Mit wie vielen Personen haben Sie insgesamt in Ihrem Leben Geschlechtsverkehr gehabt?",
"value": "NA. Item was never rendered for this user.",
"maxValue": "-Inf",
"minValue": "Inf",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "number_sexual_partner_certainty",
"description": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±1,\n3. ±2,\n4. ±3,\n5. ±5,\n6. ±10,\n7. ±20,\n8. unsicherer,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "first_time",
"description": "Wie alt waren Sie, als Sie das erste Mal Geschlechtsverkehr hatten?",
"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": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±0.5 Jahre,\n3. ±1 Jahr,\n4. ±2 Jahre,\n5. ±3 Jahre,\n6. ±4 Jahre,\n7. unsicherer,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "mother_menopause_yes",
"description": "Hat Ihre Mutter die Menopause erreicht?",
"value": "1. Ja,\n2. Nein, ist zur Zeit in den Wechseljahren,\n3. Nein, noch nicht,\n4. Nein, vorher verstorben,\nNA. Item was never rendered for this user.",
"maxValue": 4,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "mother_menopause_age",
"description": "Wie alt war Ihre Mutter beim Einsetzen ihrer Menopause?\n\n*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.*",
"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": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau <small>(ich habe sie gefragt)<\/small>,\n2. ±0.5 Jahre,\n3. ±1 Jahr,\n4. ±2 Jahre,\n5. ±3 Jahre,\n6. ±4 Jahre,\n7. unsicherer <small>(ich habe geraten)<\/small>,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 7,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menopause_yes",
"description": "Ist bei Ihnen selbst die Menopause eingetreten?",
"value": "1. Ja,\n2. Nein, bin zur Zeit in den Wechseljahren,\n3. Nein, noch nicht,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 3,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menopause_age",
"description": "Wie alt waren Sie selbst zum Eintritt Ihrer Menopause?",
"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": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±0.5 Jahre,\n3. ±1 Jahr,\n4. ±2 Jahre,\n5. ±3 Jahre,\n6. ±4 Jahre,\n7. ±7 Jahre,\n8. unsicherer,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_regular",
"description": "Haben Sie zur Zeit regelmäßig (ungefähr monatlich) Ihre Periode?",
"value": "0. Nein,\n1. Ja,\nNA. Item was never rendered for this user.",
"maxValue": 1,
"minValue": 0,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_last",
"description": "Nennen Sie bitte den ersten Tag (Start) Ihrer letzten Periode (Menstruationsblutung). Wenn möglich schauen Sie das Datum bitte in Ihrem Kalender nach.",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_last_certainty",
"description": "Wie sicher sind Sie bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±1 Tag,\n3. ±2 Tage,\n4. ±3 Tage,\n5. ±4 Tage,\n6. ±5 Tage,\n7. ±6 Tage,\n8. unsicherer,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_length",
"description": "Wie lange dauert Ihr Menstruationszyklus (Tage vom Beginn einer Monatsblutung bis zum Beginn der nächsten Monatsblutung; meist zwischen 25-35 Tagen)?",
"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": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±1 Tag,\n3. ±2 Tage,\n4. ±3 Tage,\n5. ±4 Tage,\n6. ±5 Tage,\n7. ±6 Tage,\n8. unsicherer,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_regularity",
"description": "Wie regelmäßig war in den letzten 3 Monaten Ihr Menstruationszyklus?",
"value": "1. Völlig (gar keine Schwankungen),\n2. Sehr (max. 1-2 Tage Schwankungen),\n3. Etwas (3-5 Tage Schwankungen),\n4. Kaum (über 5 Tage Schwankungen),\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 4,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "menstruation_regularity_certainty",
"description": "Wie sicher sind Sie sich bei dieser Angabe?",
"value": "1. stimmt genau,\n2. ±1 Tag,\n3. ±2 Tage,\n4. ±3 Tage,\n5. ±4 Tage,\n6. ±5 Tage,\n7. ±6 Tage,\n8. unsicherer,\nNA. Item was not shown to this user.,\nNA. Item was never rendered for this user.",
"maxValue": 8,
"minValue": 1,
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "free_not_covered",
"description": "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.\n<small>optional<\/small>",
"measurementTechnique": "self-report",
"@type": "propertyValue"
},
{
"name": "hetero_relationship",
"@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
Ich fühle mich in meiner Gegend sicher, wenn ich alleine in der Dunkelheit unterwegs bin.
Distribution of values for feel_safe_walking_dark
93 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | feel_safe_walking_dark | Ich fühle mich in meiner Gegend sicher, wenn ich alleine in der Dunkelheit unterwegs bin. | 0 | 55 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was never rendered for this user. | NA |
Ich fühle mich in meiner Gegend sicher vor Gewaltverbrechen.
Distribution of values for feel_safe_violent_crime
93 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | feel_safe_violent_crime | Ich fühle mich in meiner Gegend sicher vor Gewaltverbrechen. | 0 | 55 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was never rendered for this user. | NA |
Ich fühle mich in meiner Gegend sicher vor sexuellen Übergriffen.
Distribution of values for feel_safe_sexual_assault
93 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | feel_safe_sexual_assault | Ich fühle mich in meiner Gegend sicher vor sexuellen Übergriffen. | 0 | 55 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was never rendered for this user. | NA |
Ich fühle mich in meiner Gegend sicher vor Diebstahl.
Distribution of values for feel_safe_theft
93 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | feel_safe_theft | Ich fühle mich in meiner Gegend sicher vor Diebstahl. | 0 | 55 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was never rendered for this user. | NA |
Der Sex mit meinem Partner ist sehr befriedigend.
Distribution of values for satisfaction_sexual_intercourse
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for satisfaction_sexual_intercourse
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | satisfaction_sexual_intercourse | Der Sex mit meinem Partner ist sehr befriedigend. | 0 | s1_demo$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 |
Ich bin zufrieden mit meinem Singleleben.
Distribution of values for satisfaction_single_life
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for satisfaction_single_life
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | satisfaction_single_life | Ich bin zufrieden mit meinem Singleleben. | 0 | s1_demo$hetero_relationship == 0 | 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 |
Ich investiere viel, um jemanden kennenzulernen.
Distribution of values for investment_potential_partner
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for investment_potential_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | investment_potential_partner | Ich investiere viel, um jemanden kennenzulernen. | 0 | s1_demo$hetero_relationship == 0 | 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 |
Folgende Art von Partnerschaft, suche ich derzeit eher.
Distribution of values for timeperiod_potential_partner
1041 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | timeperiod_potential_partner | Folgende Art von Partnerschaft, suche ich derzeit eher. | 0 | mc_vertical | s1_demo$hetero_relationship == 0 | 82 |
name | value |
---|---|
1 | no_interest |
2 | one_night |
3 | short |
4 | long |
Ein Partner, der für mich in Frage käme, sollte folgende Eigenschaften haben.
Distribution of values for characteristics_potential_partner
1041 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc_multiple_button | characteristics_potential_partner | Ein Partner, der für mich in Frage käme, sollte folgende Eigenschaften haben. | 0 | square square100 | s1_demo$hetero_relationship == 0 | 82 |
name | value |
---|---|
1 | body |
2 | face |
3 | money |
4 | social_status |
5 | intelligence |
6 | humor |
7 | creativity |
8 | trustworthiness |
9 | personality |
Es befinden sich viele annehmbare Singles in meiner Umgebung.
Distribution of values for quantity_potential_partner
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for quantity_potential_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | quantity_potential_partner | Es befinden sich viele annehmbare Singles in meiner Umgebung. | 0 | s1_demo$hetero_relationship == 0 | 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 |
Wenn ich sexuell aktiv werde, dann üblicherweise mit Männern…
Distribution of values for sexual_partner
1041 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc | sexual_partner | Wenn ich sexuell aktiv werde, dann üblicherweise mit Männern… | 0 | mc_vertical | s1_demo$hetero_relationship == 0 | 82 |
name | value |
---|---|
1 | longterm |
2 | friends |
3 | met_before |
4 | new |
Im Monat habe ich durchschnittlich etwa so oft sexuellen Kontakt zu einer anderen Person.
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 |
Im Monat habe ich durchschnittlich etwa so oft die Möglichkeit zu sexuellen Kontakt zu einer anderen Person.
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 |
Mir ist die Beziehung zu meinem Partner sehr wichtig.
Distribution of values for relationship_importance
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for relationship_importance
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | relationship_importance | Mir ist die Beziehung zu meinem Partner sehr wichtig. | 0 | s1_demo$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 |
Meinem Partner ist die Beziehung zu mir sehr wichtig.
Distribution of values for relationship_importance_partner
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for relationship_importance_partner
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | relationship_importance_partner | Meinem Partner ist die Beziehung zu mir sehr wichtig. | 0 | s1_demo$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 |
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 |
Ich fühle mich bei meinem Partner sehr geborgen.
Distribution of values for attractiveness_warmth
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for attractiveness_warmth
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | attractiveness_warmth | Ich fühle mich bei meinem Partner sehr geborgen. | 0 | s1_demo$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 |
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 |
Wie viel Geld hat Ihr Partner monatlich zur Verfügung (netto)?
Distribution of values for net_income_partner
570 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
mc | net_income_partner | Wie viel Geld hat Ihr Partner monatlich zur Verfügung (netto)? | 0 | s1_demo$hetero_relationship == 1 | 82 |
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 |
Mein Partner ist körperlich stärker als viele andere Männer.
Distribution of values for partner_strength
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for partner_strength
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | partner_strength | Mein Partner ist körperlich stärker als viele andere Männer. | 0 | s1_demo$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 |
Mit meinem Partner fühle ich mich sehr sicher.
Distribution of values for partner_feel_safe
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
Plot of missing values for partner_feel_safe
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | partner_feel_safe | Mit meinem Partner fühle ich mich sehr sicher. | 0 | s1_demo$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 |
Folgendes tue ich, um einen potentiellen Partner kennen zu lernen.
Distribution of values for meet_potential_partner
1041 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE, stringsAsFactors = stringsAsFactors): 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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | type_options | name | label | optional | class | showif | value | item_order |
---|---|---|---|---|---|---|---|---|
mc_multiple | meet_potential_partner | Folgendes tue ich, um einen potentiellen Partner kennen zu lernen. | 0 | mc_vertical | s1_demo$hetero_relationship == 0 | 83 |
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 |
Was ist die Körpergröße Ihres Partners in cm (ohne Schuhe)?
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 |
Andere:
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 | Andere: | 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 |
---|---|
Was ist das Gewicht Ihres Partners in kg (ohne Kleidung)?
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 |
Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
number | soi_r_behavior_1 | Mit wie vielen verschiedenen Personen haben Sie in den letzten 12 Monaten Geschlechtsverkehr gehabt? | 0 | 117 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Mit wie vielen verschiedenen Personen haben Sie in Ihrem Leben nur einmal Geschlechtsverkehr gehabt?
Distribution of values for soi_r_behavior_2
101 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 |
Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben?
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$value_labels <- NULL: object 'cb_table' not found
## Error in exists("value_labels", metadata_table): object 'cb_table' not found
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
number | soi_r_behavior_3 | Mit wie vielen verschiedenen Personen hatten Sie schon Geschlechtsverkehr, ohne dabei ein Interesse an einer längerfristigen Beziehung mit dieser Person zu haben? | 0 | 117 |
name | value |
---|---|
Item was never rendered for this user. | NA |
Es gibt viele Probleme in meiner Beziehung.
Distribution of values for relationship_problems
572 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 relationship_problems
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | relationship_problems | Es gibt viele Probleme in meiner Beziehung. | 0 | s1_demo$hetero_relationship == 1 | 119 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Es gibt oft Streit/Meinungsverschiedenheiten in meiner Partnerschaft.
Distribution of values for relationship_conflict
572 missing values.
## Error in as.data.frame.default(x[[i]], optional = TRUE): cannot coerce class '"haven_labelled"' to a data.frame
## Error in names(df) = html_item_name: names() applied to a non-vector
## Error in (skimr::skim_with(haven_labelled = haven_labelled_sfl, haven_labelled_spss = haven_labelled_sfl, : inherits(data, "data.frame") is not TRUE
## Error in cb_table$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 relationship_conflict
type | type_options | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|---|
rating_button | 5 agree | relationship_conflict | Es gibt oft Streit/Meinungsverschiedenheiten in meiner Partnerschaft. | 0 | s1_demo$hetero_relationship == 1 | 119 |
name | value |
---|---|
1: trifft gar nicht zu | 1 |
2 | 2 |
3 | 3 |
4 | 4 |
5: trifft völlig zu | 5 |
Item was not shown to this user. | NA |
Item was never rendered for this user. | NA |
Falls Fragen für Sie nicht oder nur falsch beantwortbar waren, oder Sie ansonsten den Eindruck haben, dass uns hier etwas wichtiges entging, geben Sie es bitte in diesem offenen Feld an. <small>optional</small>
Distribution of values for free_not_covered
1419 missing values.
name | label | type | data_type | optional | showif | value | item_order | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
free_not_covered |
Falls Fragen für Sie nicht oder nur falsch beantwortbar waren, oder Sie ansonsten den Eindruck haben, dass uns hier etwas wichtiges entging, geben Sie es bitte in diesem offenen Feld an. <small>optional</small> |
textarea | character | 1 | 160 | 1419 | 0.0615 | 93 | 0 | 1 | 698 | 0 |
type | name | label | optional | showif | value | item_order |
---|---|---|---|---|---|---|
textarea | free_not_covered | Falls Fragen für Sie nicht oder nur falsch beantwortbar waren, oder Sie ansonsten den Eindruck haben, dass uns hier etwas wichtiges entging, geben Sie es bitte in diesem offenen Feld an. <small>optional</small> | 1 | 160 |
name | value |
---|---|
Reliability: ωordinal [95% CI] = 0.86 [0.85;0.87].
Missing: 93.
Likert plot of scale narq items
Distribution of scale narq
Dataframe: | res$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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
narq_5 | Ich genieße meine Erfolge sehr. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.687 | 0.9881 | 6 | ▁▂▁▆▁▇▁▅ | ||
narq_3 | Ich zeige anderen, was für ein besonderer Mensch ich bin. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 2.728 | 1.0411 | 6 | ▃▇▁▇▁▅▁▁ | ||
narq_15 | Ich ziehe viel Kraft daraus, eine ganz besondere Person zu sein. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 2.742 | 1.1093 | 6 | ▃▇▁▇▁▆▁▂ | ||
narq_2 | Ich werde einmal berühmt sein. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 1 | 5 | 1.681 | 0.8954 | 6 | ▇▅▁▂▁▁▁▁ | ||
narq_11 | Ich reagiere häufig gereizt auf Kritik. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 2.949 | 1.0344 | 6 | ▂▇▁▇▁▆▁▂ | ||
narq_18 | Ich verhalte mich im Umgang mit anderen meist überaus gewandt. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 3.143 | 0.9427 | 6 | ▁▃▁▇▁▆▁▁ | ||
narq_16 | Mit meinen besonderen Beiträgen schaffe ich es im Mittelpunkt zu stehen. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.678 | 1.0777 | 6 | ▃▇▁▇▁▅▁▁ | ||
narq_1 | Ich bin großartig. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.978 | 1.0576 | 6 | ▂▃▁▇▁▅▁▂ | ||
narq_14 | Andere Menschen sind nichts wert. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 1 | 5 | 1.109 | 0.4168 | 6 | ▇▁▁▁▁▁▁▁ | ||
narq_17 | Die meisten Menschen sind ziemliche Versager. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 1 | 5 | 1.467 | 0.7928 | 6 | ▇▂▁▁▁▁▁▁ | ||
narq_4 | Ich reagiere genervt, wenn eine andere Person mir die Schau stiehlt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.027 | 1.0408 | 6 | ▇▇▁▃▁▂▁▁ | ||
narq_13 | Die meisten Menschen werden es zu nichts bringen. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 1 | 5 | 1.675 | 0.9333 | 6 | ▇▃▁▂▁▁▁▁ | ||
narq_6 | Es freut mich insgeheim, wenn meine Gegner scheitern. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.541 | 1.2570 | 6 | ▇▇▁▆▁▅▁▂ | ||
narq_7 | In Gesprächen gelingt es mir meist, die Aufmerksamkeit der Anwesenden auf mich zu ziehen. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 3 | 5 | 3.001 | 1.0213 | 6 | ▂▅▁▇▁▅▁▂ | ||
narq_12 | Ich ertrage es nur schlecht, wenn eine andere Person Mittelpunkt des Geschehens ist. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 1.760 | 0.9111 | 6 | ▇▆▁▂▁▁▁▁ | ||
narq_8 | Ich habe es verdient, als große Persönlichkeit angesehen zu werden. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.242 | 1.0841 | 6 | ▇▇▁▇▁▂▁▁ | ||
narq_9 | Ich will, dass meine Konkurrenten scheitern. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.054 | 1.1276 | 6 | ▇▆▁▃▁▂▁▁ | ||
narq_10 | Ich genieße es, wenn ein anderer Mensch mir unterlegen ist. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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_open_1 | Ich sehe mich selbst als jemanden, der originell ist, neue Ideen entwickelt. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.406 | 1.0195 | 6 | ▁▃▁▆▁▇▁▃ | ||
bfi_open_2 | Ich sehe mich selbst als jemanden, der vielseitig interessiert ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 4.246 | 0.8279 | 6 | ▁▁▁▂▁▇▁▇ | ||
bfi_open_3 | Ich sehe mich selbst als jemanden, der tiefsinnig ist, gern über Sachen nachdenkt. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 5 | 5 | 4.293 | 0.8522 | 6 | ▁▁▁▂▁▅▁▇ | ||
bfi_open_4 | Ich sehe mich selbst als jemanden, der eine lebhafte Vorstellungskraft hat, fantasievoll ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.998 | 1.0148 | 6 | ▁▂▁▃▁▇▁▇ | ||
bfi_open_5 | Ich sehe mich selbst als jemanden, der erfinderisch und einfallsreich ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.491 | 1.0089 | 6 | ▁▃▁▇▁▇▁▃ | ||
bfi_open_6 | Ich sehe mich selbst als jemanden, der künstlerische und ästhetische Eindrücke schätzt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 4 | 5 | 3.972 | 1.0658 | 6 | ▁▂▁▃▁▇▁▇ | ||
bfi_open_7r | Ich sehe mich selbst als jemanden, der routinemäßige und einfache Aufgaben bevorzugt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 3 | 5 | 3.395 | 1.0881 | 6 | ▁▃▁▇▁▇▁▃ | ||
bfi_open_8 | Ich sehe mich selbst als jemanden, der gerne Überlegungen anstellt, mit Ideen spielt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 4 | 5 | 3.956 | 0.9561 | 6 | ▁▂▁▃▁▇▁▆ | ||
bfi_open_9r | Ich sehe mich selbst als jemanden, der nur wenig künstlerisches Interesse hat. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 4 | 5 | 3.999 | 1.1394 | 6 | ▁▂▁▂▁▅▁▇ | ||
bfi_open_10 | Ich sehe mich selbst als jemanden, der sich gut in Musik, Kunst und Literatur auskennt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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_extra_1 | Ich sehe mich selbst als jemanden, der gesprächig ist, sich gerne unterhält. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.803 | 1.0278 | 6 | ▁▂▁▅▁▇▁▆ | ||
bfi_extra_3 | Ich sehe mich selbst als jemanden, der voller Energie und Tatendrang ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 3.427 | 0.9308 | 6 | ▁▂▁▇▁▇▁▂ | ||
bfi_extra_2r | Ich sehe mich selbst als jemanden, der eher zurückhaltend und reserviert ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 3.276 | 1.1523 | 6 | ▂▆▁▆▁▇▁▃ | ||
bfi_extra_4 | Ich sehe mich selbst als jemanden, der begeisterungsfähig ist, andere mitreißen kann. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.706 | 1.0140 | 6 | ▁▂▁▅▁▇▁▅ | ||
bfi_extra_5r | Ich sehe mich selbst als jemanden, der eher still und wortkarg ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.769 | 1.1299 | 6 | ▁▃▁▅▁▇▁▇ | ||
bfi_extra_6 | Ich sehe mich selbst als jemanden, der durchsetzungsfähig und energisch ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 3.360 | 1.0313 | 6 | ▁▃▁▇▁▇▁▃ | ||
bfi_extra_7r | Ich sehe mich selbst als jemanden, der manchmal schüchtern und gehemmt ist. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.684 | 1.2292 | 6 | ▅▇▁▅▁▅▁▂ | ||
bfi_extra_8 | Ich sehe mich selbst als jemanden, der aus sich heraus geht, gesellig ist. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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_agree_2 | Ich sehe mich selbst als jemanden, der hilfsbereit und selbstlos gegenüber anderen ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.897 | 0.8435 | 6 | ▁▁▁▃▁▇▁▃ | ||
bfi_agree_3r | Ich sehe mich selbst als jemanden, der häufig in Streitereien verwickelt ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 5 | 5 | 4.282 | 0.9002 | 6 | ▁▁▁▂▁▅▁▇ | ||
bfi_agree_1r | Ich sehe mich selbst als jemanden, der dazu neigt, andere zu kritisieren. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 3.096 | 1.0858 | 6 | ▂▆▁▇▁▇▁▂ | ||
bfi_agree_4 | Ich sehe mich selbst als jemanden, der nicht nachtragend ist, anderen leicht vergibt. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 3.311 | 1.1652 | 6 | ▂▅▁▆▁▇▁▃ | ||
bfi_agree_5 | Ich sehe mich selbst als jemanden, der anderen Vertrauen schenkt. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.857 | 0.9915 | 6 | ▁▂▁▃▁▇▁▅ | ||
bfi_agree_6r | Ich sehe mich selbst als jemanden, der sich kalt und distanziert verhalten kann. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 3.003 | 1.2897 | 6 | ▅▇▁▇▁▇▁▅ | ||
bfi_agree_7 | Ich sehe mich selbst als jemanden, der rücksichtsvoll und einfühlsam zu anderen ist. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 4 | 5 | 4.247 | 0.7914 | 6 | ▁▁▁▂▁▇▁▇ | ||
bfi_agree_8r | Ich sehe mich selbst als jemanden, der schroff und abweisend zu anderen sein kann. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 3 | 5 | 3.273 | 1.2767 | 6 | ▃▆▁▆▁▇▁▆ | ||
bfi_agree_9 | Ich sehe mich selbst als jemanden, der sich kooperativ verhält, Zusammenarbeit dem Wettbewerb vorzieht. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
soi_r_attitude_6r | Ich möchte nicht eher Sex mit jemandem haben, solange ich mir nicht sicher bin, dass es sich um eine ernste Langzeitbeziehung handelt. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.527 | 1.405 | 6 | ▃▃▁▃▁▆▁▇ | ||
soi_r_attitude_4 | Ich finde, Sex ohne Liebe ist ok. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.565 | 1.371 | 6 | ▂▃▁▃▁▅▁▇ | ||
soi_r_attitude_5 | Ich könnte mir vorstellen, dass ich “unverbindlichen” Sex mit verschiedenen Personen genieße und mich dabei wohl fühle. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 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 | Ich sehe mich selbst als jemanden, der etwas achtlos sein kann. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 3.559 | 1.0744 | 6 | ▁▃▁▅▁▇▁▅ | ||
bfi_consc_3 | Ich sehe mich selbst als jemanden, der zuverlässig ist und gewissenhaft. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 4 | 5 | 4.198 | 0.8225 | 6 | ▁▁▁▂▁▇▁▇ | ||
bfi_consc_1 | Ich sehe mich selbst als jemanden, der Aufgaben gründlich erledigt. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 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 | Ich sehe mich selbst als jemanden, der bequem ist und zur Faulheit neigt. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.942 | 1.1755 | 6 | ▃▇▁▇▁▇▁▃ | ||
bfi_consc_5 | Ich sehe mich selbst als jemanden, der nicht aufgibt, ehe die Aufgabe erledigt ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 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 | Ich sehe mich selbst als jemanden, der Pläne macht und diese auch durchführt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 4 | 5 | 3.790 | 0.9447 | 6 | ▁▂▁▅▁▇▁▅ | ||
bfi_consc_8r | Ich sehe mich selbst als jemanden, der leicht ablenkbar ist, nicht bei der Sache bleibt. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
asendorpf_shyness_4r | Ich finde es leicht, mit Fremden in Kontakt zu kommen. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 2.672 | 1.196 | 6 | ▅▇▁▆▁▅▁▂ | ||
asendorpf_shyness_2 | Ich fühle mich anderen gegenüber gehemmt. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 2.672 | 1.055 | 6 | ▃▇▁▇▁▅▁▁ | ||
asendorpf_shyness_5 | Ich fühle mich auf Parties und in anderen größeren Gruppen unwohl. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 2 | 5 | 2.643 | 1.257 | 6 | ▆▇▁▆▁▅▁▂ | ||
asendorpf_shyness_3r | Ich gehe ungezwungen auf andere Menschen zu. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 2 | 5 | 2.596 | 1.117 | 6 | ▃▇▁▆▁▅▁▁ | ||
asendorpf_shyness_1 | Ich fühle mich in Gegenwart anderer schüchtern. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | Ich sehe mich selbst als jemanden, der entspannt ist, sich durch Stress nicht aus der Ruhe bringen lässt. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 3 | 5 | 3.222 | 1.111 | 6 | ▂▆▁▇▁▇▁▃ | ||
bfi_neuro_1 | Ich sehe mich selbst als jemanden, der deprimiert, niedergeschlagen ist. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 2 | 5 | 2.269 | 1.123 | 6 | ▇▇▁▆▁▃▁▁ | ||
bfi_neuro_3 | Ich sehe mich selbst als jemanden, der leicht angespannt reagiert. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.889 | 1.088 | 6 | ▂▇▁▇▁▆▁▂ | ||
bfi_neuro_4 | Ich sehe mich selbst als jemanden, der sich viele Sorgen macht. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 4 | 5 | 3.660 | 1.115 | 6 | ▁▃▁▅▁▇▁▆ | ||
bfi_neuro_5r | Ich sehe mich selbst als jemanden, der nicht leicht aus der Fassung zu bringen ist. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.894 | 1.065 | 6 | ▂▇▁▇▁▆▁▂ | ||
bfi_neuro_8 | Ich sehe mich selbst als jemanden, der launisch sein kann, schwankende Stimmungen hat. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pvd_germ_aversion_2 | Ich mag es nicht mit einem Stift zu schreiben, an dem offensichtlich eine andere Person gekaut hat. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.842 | 1.426 | 6 | ▇▇▁▆▁▆▁▆ | ||
pvd_germ_aversion_3R | Es macht mir nichts aus, mit einem Freund eine Wasserflasche zu teilen. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 1 | 5 | 1.616 | 1.061 | 6 | ▇▂▁▁▁▁▁▁ | ||
pvd_germ_aversion_1 | Am liebsten wasche ich meine Hände direkt, nachdem ich jemandem die Hände geschüttelt habe. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 1 | 5 | 1.717 | 1.012 | 6 | ▇▃▁▂▁▁▁▁ | ||
pvd_germ_aversion_4R | Es macht mir keine Sorgen, von kranken Menschen umgeben zu sein. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
pvd_infectability_1 | Ich bin generell sehr anfällig für Erkältungen, Grippen und andere Infektionen. | rating_button | 5 agree | haven_labelled |
|
0 | 5 | 50 | 0.9669 | 1 | 2 | 5 | 2.235 | 1.168 | 6 | ▇▇▁▅▁▃▁▁ | ||
pvd_infectability_3R | Mein Immunsystem schützt mich vor den meisten Krankheiten, die andere Leute bekommen. | rating_button | 5 agree | haven_labelled |
|
0 | 28 | 73 | 0.9517 | 1 | 3 | 5 | 2.712 | 1.106 | 6 | ▃▇▁▇▁▅▁▂ | ||
pvd_infectability_2 | Wenn eine Krankheit „gerade umgeht“, bekomme ich sie bestimmt auch. | rating_button | 5 agree | haven_labelled |
|
0 | 55 | 93 | 0.9385 | 1 | 2 | 5 | 2.180 | 1.064 | 6 | ▇▇▁▅▁▂▁▁ |