Codebook

Setup

Here, we’re just setting a few options.

knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
pander::panderOptions("table.split.table", Inf)

Library

library(labelled)
library(codebook)

## 
## Attache Paket: 'codebook'

## Das folgende Objekt ist maskiert 'package:labelled':
## 
##     to_factor

library(formr)

## 
## Attache Paket: 'formr'

## Die folgenden Objekte sind maskiert von 'package:codebook':
## 
##     aggregate_and_document_scale, expired, rescue_attributes,
##     reverse_labelled_values

library(ggplot2)
library(dplyr)

## 
## Attache Paket: 'dplyr'

## Die folgenden Objekte sind maskiert von 'package:formr':
## 
##     first, last

## Die folgenden Objekte sind maskiert von 'package:stats':
## 
##     filter, lag

## Die folgenden Objekte sind maskiert von 'package:base':
## 
##     intersect, setdiff, setequal, union

library(future)

Data

Load selected data based on 02_exclusion

data_included = read.csv(file = "data_included.csv")[,-1]

Information About Data

Variable Labels

var_label(data_included) = list(
  political_orientation = "Where would you place yourself on the political spectrum?",
  age = "How old are you?",
  interest_single = "How interested are you in each of the following relationship options at some time in the future? - Being non-partnered (e.g., solo, single, not committed)",
  interest_sexrel = "How interested are you in each of the following relationship options at some time in the future? - Having sexual, non-romantic relationship(s) (e.g., hookups, one-night stands)",
  interest_nonmonrel = "How interested are you in each of the following relationship options at some time in the future? -Having non-monogamous relationship(s)",
  interest_monrel = "How interested are you in each of the following relationship options at some time in the future? - Having monogamous relationship(s)",
  pref_politicalsim = "Similar political beliefs and values as me - How important is it to you?", 
  pref_ethnicalsim = "Ethnicity/race - Should your partner's ethnicity/race be different or the same as you?",
  pref_religioussim = "Similar religious beliefs as me - How important is it to you",
  pref_level_kind = "Level of kindness - How kind should your partner be?",
  pref_level_supportive = "Supportive - How supportive should your partner be?",
  pref_level_attractive_body = "Attractive body - How attractive should your partner's body be?",
  pref_level_attractive_face = "Attractive face - How attractive should your partner's face be?",
  pref_level_financially_secure = "Financial security - How financially secure should your partner be?",
  pref_level_successful_ambitious = "Successful/ambitious - How successful/ambitious should your partner be?",
  pref_level_confident = "Level of confidence - How confident should your partner be?",
  pref_level_assertive = "Level of assertiveness - How assertive should your partner be?",
  pref_level_intelligence = "Level of intelligence - How intelligent should your partner be?",
  pref_level_educated = "Level of education - How educated should your partner be?",
  imp_age = "How important is the age of your ideal long-term partner?",
  ideal_age = "The perfect age for my ideal long-term partner is __ years old.",
  imp_height = "How important is your ideal long-term partner’s height?",
  ideal_height = "My ideal long-term partner’s height is __.",
  country = "In what country do you live?",
  language = "Language of Survey",
  sex = "Do you identify as…",
  sexual_orientation = "How would you describe your current sexual orientation?",
  relationship = "Select your relationships during the past 3 months. Choose as many as you like",
  answer_accuracy = "We understand that sometimes people fill out questionnaires for fun and give answers that may not be accurate. In the interest of scientific accuracy, we will exclude those responses from our final analysis. Please choose one of the statements below:"
)

Value Labels

val_labels(data_included$political_orientation)=
  c("LEFT" = 0, "RIGHT" = 6)

val_labels(data_included$interest_single)=
  c("not at all interested" = 0, "very interested" = 6)
val_labels(data_included$interest_sexrel)=
  c("not at all interested" = 0, "very interested" = 6)
val_labels(data_included$interest_nonmonrel)=
  c("not at all interested" = 0, "very interested" = 6)
val_labels(data_included$interest_monrel)=
  c("not at all interested" = 0, "very interested" = 6)


val_labels(data_included$pref_politicalsim)=
  c("not at all important" = 0, "very important" = 6)
val_labels(data_included$pref_ethnicalsim)=
  c("different from me" = 0, "same as me" = 6)
val_labels(data_included$pref_religioussim)=
  c("not at all important" = 0, "very important" = 6)


val_labels(data_included$pref_level_kind) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_supportive) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_attractive_body) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_attractive_face) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_financially_secure) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_successful_ambitious) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_confident) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_assertive) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_intelligence) =
  c("not at all" = 0, "very" = 6)
val_labels(data_included$pref_level_educated) =
  c("not at all" = 0, "very" = 6)

val_labels(data_included$imp_age) =
  c("not at all important" = 0, "very important" = 6)
val_labels(data_included$imp_height) =
  c("not at all important" = 0, "very important" = 6)

Relative Ideal Age

Ideal long-term partner’s age will be be calculated as relative age discrepancy between ideal partner’s age and women’s own age which will be calculated by subtracting women’s own age from ideal partner’s age

data_included = data_included %>%
  mutate(ideal_age_rel = ideal_age - age)

qplot(data_included$ideal_age_rel)

## Warning: `qplot()` was deprecated in ggplot2 3.4.0.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## Warning: Removed 1200 rows containing non-finite outside the scale range
## (`stat_bin()`).

Number of participants and number of countries

nrow(data_included)

## [1] 13257

length(unique(data_included$country))

## [1] 144

Create Codebook

data_included = data_included %>%
  select(sex, country, language,
         political_orientation, age, 
          pref_politicalsim, pref_ethnicalsim, pref_religioussim,
          pref_level_financially_secure_successful_ambitious, pref_level_financially_secure, 
          pref_level_successful_ambitious,
          pref_level_confident_assertive, pref_level_confident, pref_level_assertive,
          pref_level_intelligence_educated, pref_level_intelligence, pref_level_educated,
          pref_level_kind_supportive, pref_level_kind, pref_level_supportive,
          pref_level_attractiveness, pref_level_attractive_body, pref_level_attractive_face,
          imp_age, ideal_age, ideal_age_rel,
          imp_height, ideal_height,
         interest_single, interest_sexrel, interest_nonmonrel, interest_monrel
          )

codebook(data_included)

## Registered S3 method overwritten by 'rmdpartials':
##   method          from 
##   print.knit_asis formr

Metadata

Description

Dataset name: data_included

The dataset has N=13257 rows and 32 columns. 7195 rows have no missing values on any column.

Metadata for search engines

• Date published: 2025-04-24

x sex country language political_orientation age pref_politicalsim pref_ethnicalsim pref_religioussim pref_level_financially_secure_successful_ambitious pref_level_financially_secure pref_level_successful_ambitious pref_level_confident_assertive pref_level_confident pref_level_assertive pref_level_intelligence_educated pref_level_intelligence pref_level_educated pref_level_kind_supportive pref_level_kind pref_level_supportive pref_level_attractiveness pref_level_attractive_body pref_level_attractive_face imp_age ideal_age ideal_age_rel imp_height ideal_height interest_single interest_sexrel interest_nonmonrel interest_monrel

Variables

sex

Do you identify as…

Distribution

Distribution of values for sex

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
sex	Do you identify as…	character	0	1	1	0	5	5	0

country

In what country do you live?

Distribution

Distribution of values for country

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
country	In what country do you live?	character	0	1	144	0	4	32	0

language

Language of Survey

Distribution

Distribution of values for language

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
language	Language of Survey	character	0	1	10	0	6	10	0

political_orientation

Where would you place yourself on the political spectrum?

Distribution

Distribution of values for political_orientation

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
political_orientation	Where would you place yourself on the political spectrum?	haven_labelled	0	1	0	3	6	2.528023	1.36602	2	▂▃▅▇▁▂▁▁

Value labels

Response choices

name	value
LEFT	0
RIGHT	6

age

How old are you?

Distribution

Distribution of values for age

4 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
age	How old are you?	numeric	4	0.9996983	18	21	67	23.72029	6.896534	▇▂▁▁▁

pref_politicalsim

Similar political beliefs and values as me - How important is it to you?

Distribution

Distribution of values for pref_politicalsim

308 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_politicalsim	Similar political beliefs and values as me - How important is it to you?	haven_labelled	308	0.976767	0	3	6	3.226504	1.91648	2	▆▂▃▇▁▇▆▅

Value labels

Response choices

name	value
not at all important	0
very important	6

pref_ethnicalsim

Ethnicity/race - Should your partner’s ethnicity/race be different or the same as you?

Distribution

Distribution of values for pref_ethnicalsim

4614 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_ethnicalsim	Ethnicity/race - Should your partner’s ethnicity/race be different or the same as you?	haven_labelled	4614	0.6519575	0	3	6	3.273169	1.43992	2	▁▁▂▇▁▃▂▂

Value labels

Response choices

name	value
different from me	0
same as me	6

pref_religioussim

Similar religious beliefs as me - How important is it to you

Distribution

Distribution of values for pref_religioussim

320 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_religioussim	Similar religious beliefs as me - How important is it to you	haven_labelled	320	0.9758618	0	3	6	2.950761	2.199673	2	▇▂▃▅▁▅▃▆

Value labels

Response choices

name	value
not at all important	0
very important	6

pref_level_financially_secure_successful_ambitious

Distribution

Distribution of values for pref_level_financially_secure_successful_ambitious

706 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pref_level_financially_secure_successful_ambitious	numeric	706	0.9467451	0	4.5	6	4.351247	0.895886	▁▁▅▇▆	NA

pref_level_financially_secure

Financial security - How financially secure should your partner be?

Distribution

Distribution of values for pref_level_financially_secure

557 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_financially_secure	Financial security - How financially secure should your partner be?	haven_labelled	557	0.9579845	0	4	6	4.251575	1.112366	2	▁▁▁▅▁▇▆▃

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_successful_ambitious

Successful/ambitious - How successful/ambitious should your partner be?

Distribution

Distribution of values for pref_level_successful_ambitious

478 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_successful_ambitious	Successful/ambitious - How successful/ambitious should your partner be?	haven_labelled	478	0.9639436	0	4	6	4.436184	1.075005	2	▁▁▁▃▁▇▇▅

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_confident_assertive

Distribution

Distribution of values for pref_level_confident_assertive

560 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pref_level_confident_assertive	numeric	560	0.9577582	1	4.5	6	4.385052	0.8409224	▁▂▇▇▃	NA

pref_level_confident

Level of confidence - How confident should your partner be?

Distribution

Distribution of values for pref_level_confident

367 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_confident	Level of confidence - How confident should your partner be?	haven_labelled	367	0.9723165	0	5	6	4.686812	1.024135	2	▁▁▁▂▁▇▇▆

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_assertive

Level of assertiveness - How assertive should your partner be?

Distribution

Distribution of values for pref_level_assertive

496 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_assertive	Level of assertiveness - How assertive should your partner be?	haven_labelled	496	0.9625858	0	4	6	4.081498	1.04256	2	▁▁▁▅▁▇▅▂

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_intelligence_educated

Distribution

Distribution of values for pref_level_intelligence_educated

534 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pref_level_intelligence_educated	numeric	534	0.9597194	0.5	5	6	4.729309	0.820286	▁▁▂▆▇	NA

pref_level_intelligence

Level of intelligence - How intelligent should your partner be?

Distribution

Distribution of values for pref_level_intelligence

370 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_intelligence	Level of intelligence - How intelligent should your partner be?	haven_labelled	370	0.9720902	0	5	6	4.785831	0.892955	2	▁▁▁▁▁▆▇▅

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_educated

Level of education - How educated should your partner be?

Distribution

Distribution of values for pref_level_educated

473 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_educated	Level of education - How educated should your partner be?	haven_labelled	473	0.9643207	0	5	6	4.666536	1.030682	2	▁▁▁▂▁▇▇▆

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_kind_supportive

Distribution

Distribution of values for pref_level_kind_supportive

528 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pref_level_kind_supportive	numeric	528	0.960172	2	5	6	5.139563	0.6994721	▁▁▁▇▇	NA

pref_level_kind

Level of kindness - How kind should your partner be?

Distribution

Distribution of values for pref_level_kind

338 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_kind	Level of kindness - How kind should your partner be?	haven_labelled	338	0.974504	0	5	6	5.258689	0.8538259	2	▁▁▁▁▁▂▆▇

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_supportive

Supportive - How supportive should your partner be?

Distribution

Distribution of values for pref_level_supportive

490 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_supportive	Supportive - How supportive should your partner be?	haven_labelled	490	0.9630384	0	5	6	5.020678	0.8933643	2	▁▁▁▁▁▅▇▇

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_attractiveness

Distribution

Distribution of values for pref_level_attractiveness

731 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
pref_level_attractiveness	numeric	731	0.9448593	0	4	6	4.044308	0.9095593	▁▁▆▇▅	NA

pref_level_attractive_body

Attractive body - How attractive should your partner’s body be?

Distribution

Distribution of values for pref_level_attractive_body

654 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_attractive_body	Attractive body - How attractive should your partner’s body be?	haven_labelled	654	0.9506676	0	4	6	3.840038	1.016899	2	▁▁▁▆▁▇▃▁

Value labels

Response choices

name	value
not at all	0
very	6

pref_level_attractive_face

Attractive face - How attractive should your partner’s face be?

Distribution

Distribution of values for pref_level_attractive_face

529 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
pref_level_attractive_face	Attractive face - How attractive should your partner’s face be?	haven_labelled	529	0.9600966	0	4	6	4.228394	1.045934	2	▁▁▁▅▁▇▆▂

Value labels

Response choices

name	value
not at all	0
very	6

imp_age

How important is the age of your ideal long-term partner?

Distribution

Distribution of values for imp_age

144 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
imp_age	How important is the age of your ideal long-term partner?	haven_labelled	144	0.9891378	0	4	6	3.631358	1.41965	2	▁▁▂▅▁▇▃▂

Value labels

Response choices

name	value
not at all important	0
very important	6

ideal_age

The perfect age for my ideal long-term partner is __ years old.

Distribution

Distribution of values for ideal_age

1196 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ideal_age	The perfect age for my ideal long-term partner is __ years old.	numeric	1196	0.9097835	10	25	100	26.23199	7.285068	▇▃▁▁▁

ideal_age_rel

The perfect age for my ideal long-term partner is __ years old.

Distribution

Distribution of values for ideal_age_rel

1200 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ideal_age_rel	The perfect age for my ideal long-term partner is __ years old.	numeric	1200	0.9094818	-34	2	82	2.522684	3.142703	▁▇▁▁▁

imp_height

How important is your ideal long-term partner’s height?

Distribution

Distribution of values for imp_height

231 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
imp_height	How important is your ideal long-term partner’s height?	haven_labelled	231	0.9825752	0	4	6	3.948641	1.491129	2	▁▁▂▅▁▇▆▃

Value labels

Response choices

name	value
not at all important	0
very important	6

ideal_height

My ideal long-term partner’s height is __.

Distribution

Distribution of values for ideal_height

733 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
ideal_height	My ideal long-term partner’s height is __.	numeric	733	0.9447085	-2	1	2	1.028266	0.4357638	▁▁▁▇▁

interest_single

How interested are you in each of the following relationship options at some time in the future? - Being non-partnered (e.g., solo, single, not committed)

Distribution

Distribution of values for interest_single

49 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
interest_single	How interested are you in each of the following relationship options at some time in the future? - Being non-partnered (e.g., solo, single, not committed)	haven_labelled	49	0.9963038	0	2	6	2.222971	1.763918	2	▇▅▅▇▁▃▂▂

Value labels

Response choices

name	value
not at all interested	0
very interested	6

interest_sexrel

How interested are you in each of the following relationship options at some time in the future? - Having sexual, non-romantic relationship(s) (e.g., hookups, one-night stands)

Distribution

Distribution of values for interest_sexrel

64 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
interest_sexrel	How interested are you in each of the following relationship options at some time in the future? - Having sexual, non-romantic relationship(s) (e.g., hookups, one-night stands)	haven_labelled	64	0.9951724	0	2	6	2.404078	1.98239	2	▇▃▅▅▁▃▂▃

Value labels

Response choices

name	value
not at all interested	0
very interested	6

interest_nonmonrel

How interested are you in each of the following relationship options at some time in the future? -Having non-monogamous relationship(s)

Distribution

Distribution of values for interest_nonmonrel

112 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
interest_nonmonrel	How interested are you in each of the following relationship options at some time in the future? -Having non-monogamous relationship(s)	haven_labelled	112	0.9915516	0	0	6	0.8615443	1.498122	2	▇▁▁▁▁▁▁▁

Value labels

Response choices

name	value
not at all interested	0
very interested	6

interest_monrel

How interested are you in each of the following relationship options at some time in the future? - Having monogamous relationship(s)

Distribution

Distribution of values for interest_monrel

92 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	n_value_labels	hist
interest_monrel	How interested are you in each of the following relationship options at some time in the future? - Having monogamous relationship(s)	haven_labelled	92	0.9930603	0	6	6	4.819673	1.751717	2	▁▁▁▁▁▂▃▇

Value labels

Response choices

name	value
not at all interested	0
very interested	6

Missingness report

## # A tibble: 7 × 31
##   description                age interest_single interest_sexrel interest_monrel
##   <chr>                    <dbl>           <dbl>           <dbl>           <dbl>
## 1 Missing values per vari…     4              49              64              92
## 2 Missing values in 0 var…     1               1               1               1
## 3 Missing values in 1 var…     1               1               1               1
## 4 Missing values in 2 var…     1               1               1               1
## 5 Missing values in 3 var…     1               1               1               1
## 6 Missing values in 18 va…     1               1               1               1
## 7 398 other, less frequen…   395             370             364             357
## # ℹ 26 more variables: interest_nonmonrel <dbl>, imp_age <dbl>,
## #   imp_height <dbl>, pref_politicalsim <dbl>, pref_religioussim <dbl>,
## #   pref_level_kind <dbl>, pref_level_confident <dbl>,
## #   pref_level_intelligence <dbl>, pref_level_educated <dbl>,
## #   pref_level_successful_ambitious <dbl>, pref_level_supportive <dbl>,
## #   pref_level_assertive <dbl>, pref_level_kind_supportive <dbl>,
## #   pref_level_attractive_face <dbl>, pref_level_intelligence_educated <dbl>, …

Codebook table

name	label	data_type	value_labels	n_missing	complete_rate	n_unique	empty	min	median	max	mean	sd	whitespace	n_value_labels	hist
sex	Do you identify as…	character	NA	0	1.0000000	1	0	5	NA	5	NA	NA	0	NA	NA
country	In what country do you live?	character	NA	0	1.0000000	144	0	4	NA	32	NA	NA	0	NA	NA
language	Language of Survey	character	NA	0	1.0000000	10	0	6	NA	10	NA	NA	0	NA	NA
political_orientation	Where would you place yourself on the political spectrum?	haven_labelled	0. LEFT, 6. RIGHT	0	1.0000000	NA	NA	0	3	6	2.5280229	1.3660201	NA	2	▂▃▅▇▁▂▁▁
age	How old are you?	numeric	NA	4	0.9996983	NA	NA	18.0	21.0	67	23.7202897	6.8965345	NA	NA	▇▂▁▁▁
pref_politicalsim	Similar political beliefs and values as me - How important is it to you?	haven_labelled	0. not at all important, 6. very important	308	0.9767670	NA	NA	0	3	6	3.2265040	1.9164802	NA	2	▆▂▃▇▁▇▆▅
pref_ethnicalsim	Ethnicity/race - Should your partner’s ethnicity/race be different or the same as you?	haven_labelled	0. different from me, 6. same as me	4614	0.6519575	NA	NA	0	3	6	3.2731690	1.4399195	NA	2	▁▁▂▇▁▃▂▂
pref_religioussim	Similar religious beliefs as me - How important is it to you	haven_labelled	0. not at all important, 6. very important	320	0.9758618	NA	NA	0	3	6	2.9507614	2.1996731	NA	2	▇▂▃▅▁▅▃▆
pref_level_financially_secure_successful_ambitious	NA	numeric	NA	706	0.9467451	NA	NA	0.0	4.5	6	4.3512469	0.8958860	NA	NA	▁▁▅▇▆
pref_level_financially_secure	Financial security - How financially secure should your partner be?	haven_labelled	0. not at all, 6. very	557	0.9579845	NA	NA	0	4	6	4.2515748	1.1123663	NA	2	▁▁▁▅▁▇▆▃
pref_level_successful_ambitious	Successful/ambitious - How successful/ambitious should your partner be?	haven_labelled	0. not at all, 6. very	478	0.9639436	NA	NA	0	4	6	4.4361844	1.0750048	NA	2	▁▁▁▃▁▇▇▅
pref_level_confident_assertive	NA	numeric	NA	560	0.9577582	NA	NA	1.0	4.5	6	4.3850516	0.8409224	NA	NA	▁▂▇▇▃
pref_level_confident	Level of confidence - How confident should your partner be?	haven_labelled	0. not at all, 6. very	367	0.9723165	NA	NA	0	5	6	4.6868115	1.0241349	NA	2	▁▁▁▂▁▇▇▆
pref_level_assertive	Level of assertiveness - How assertive should your partner be?	haven_labelled	0. not at all, 6. very	496	0.9625858	NA	NA	0	4	6	4.0814983	1.0425599	NA	2	▁▁▁▅▁▇▅▂
pref_level_intelligence_educated	NA	numeric	NA	534	0.9597194	NA	NA	0.5	5.0	6	4.7293091	0.8202860	NA	NA	▁▁▂▆▇
pref_level_intelligence	Level of intelligence - How intelligent should your partner be?	haven_labelled	0. not at all, 6. very	370	0.9720902	NA	NA	0	5	6	4.7858307	0.8929550	NA	2	▁▁▁▁▁▆▇▅
pref_level_educated	Level of education - How educated should your partner be?	haven_labelled	0. not at all, 6. very	473	0.9643207	NA	NA	0	5	6	4.6665363	1.0306818	NA	2	▁▁▁▂▁▇▇▆
pref_level_kind_supportive	NA	numeric	NA	528	0.9601720	NA	NA	2.0	5.0	6	5.1395632	0.6994721	NA	NA	▁▁▁▇▇
pref_level_kind	Level of kindness - How kind should your partner be?	haven_labelled	0. not at all, 6. very	338	0.9745040	NA	NA	0	5	6	5.2586888	0.8538259	NA	2	▁▁▁▁▁▂▆▇
pref_level_supportive	Supportive - How supportive should your partner be?	haven_labelled	0. not at all, 6. very	490	0.9630384	NA	NA	0	5	6	5.0206783	0.8933643	NA	2	▁▁▁▁▁▅▇▇
pref_level_attractiveness	NA	numeric	NA	731	0.9448593	NA	NA	0.0	4.0	6	4.0443078	0.9095593	NA	NA	▁▁▆▇▅
pref_level_attractive_body	Attractive body - How attractive should your partner’s body be?	haven_labelled	0. not at all, 6. very	654	0.9506676	NA	NA	0	4	6	3.8400381	1.0168988	NA	2	▁▁▁▆▁▇▃▁
pref_level_attractive_face	Attractive face - How attractive should your partner’s face be?	haven_labelled	0. not at all, 6. very	529	0.9600966	NA	NA	0	4	6	4.2283941	1.0459340	NA	2	▁▁▁▅▁▇▆▂
imp_age	How important is the age of your ideal long-term partner?	haven_labelled	0. not at all important, 6. very important	144	0.9891378	NA	NA	0	4	6	3.6313582	1.4196495	NA	2	▁▁▂▅▁▇▃▂
ideal_age	The perfect age for my ideal long-term partner is __ years old.	numeric	NA	1196	0.9097835	NA	NA	10.0	25.0	100	26.2319874	7.2850679	NA	NA	▇▃▁▁▁
ideal_age_rel	The perfect age for my ideal long-term partner is __ years old.	numeric	NA	1200	0.9094818	NA	NA	-34.0	2.0	82	2.5226839	3.1427026	NA	NA	▁▇▁▁▁
imp_height	How important is your ideal long-term partner’s height?	haven_labelled	0. not at all important, 6. very important	231	0.9825752	NA	NA	0	4	6	3.9486412	1.4911290	NA	2	▁▁▂▅▁▇▆▃
ideal_height	My ideal long-term partner’s height is __.	numeric	NA	733	0.9447085	NA	NA	-2.0	1.0	2	1.0282657	0.4357638	NA	NA	▁▁▁▇▁
interest_single	How interested are you in each of the following relationship options at some time in the future? - Being non-partnered (e.g., solo, single, not committed)	haven_labelled	0. not at all interested, 6. very interested	49	0.9963038	NA	NA	0	2	6	2.2229709	1.7639180	NA	2	▇▅▅▇▁▃▂▂
interest_sexrel	How interested are you in each of the following relationship options at some time in the future? - Having sexual, non-romantic relationship(s) (e.g., hookups, one-night stands)	haven_labelled	0. not at all interested, 6. very interested	64	0.9951724	NA	NA	0	2	6	2.4040779	1.9823903	NA	2	▇▃▅▅▁▃▂▃
interest_nonmonrel	How interested are you in each of the following relationship options at some time in the future? -Having non-monogamous relationship(s)	haven_labelled	0. not at all interested, 6. very interested	112	0.9915516	NA	NA	0	0	6	0.8615443	1.4981224	NA	2	▇▁▁▁▁▁▁▁
interest_monrel	How interested are you in each of the following relationship options at some time in the future? - Having monogamous relationship(s)	haven_labelled	0. not at all interested, 6. very interested	92	0.9930603	NA	NA	0	6	6	4.8196734	1.7517171	NA	2	▁▁▁▁▁▂▃▇

JSON-LD metadata

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

{
  "name": "data_included",
  "datePublished": "2025-04-24",
  "description": "The dataset has N=13257 rows and 32 columns.\n7195 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 0.9.6).",
  "keywords": ["sex", "country", "language", "political_orientation", "age", "pref_politicalsim", "pref_ethnicalsim", "pref_religioussim", "pref_level_financially_secure_successful_ambitious", "pref_level_financially_secure", "pref_level_successful_ambitious", "pref_level_confident_assertive", "pref_level_confident", "pref_level_assertive", "pref_level_intelligence_educated", "pref_level_intelligence", "pref_level_educated", "pref_level_kind_supportive", "pref_level_kind", "pref_level_supportive", "pref_level_attractiveness", "pref_level_attractive_body", "pref_level_attractive_face", "imp_age", "ideal_age", "ideal_age_rel", "imp_height", "ideal_height", "interest_single", "interest_sexrel", "interest_nonmonrel", "interest_monrel"],
  "@context": "https://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "sex",
      "description": "Do you identify as…",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "description": "In what country do you live?",
      "@type": "propertyValue"
    },
    {
      "name": "language",
      "description": "Language of Survey",
      "@type": "propertyValue"
    },
    {
      "name": "political_orientation",
      "description": "Where would you place yourself on the political spectrum?",
      "value": "0. LEFT,\n6. RIGHT",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "description": "How old are you?",
      "@type": "propertyValue"
    },
    {
      "name": "pref_politicalsim",
      "description": "Similar political beliefs and values as me - How important is it to you?",
      "value": "0. not at all important,\n6. very important",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_ethnicalsim",
      "description": "Ethnicity/race - Should your partner's ethnicity/race be different or the same as you?",
      "value": "0. different from me,\n6. same as me",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_religioussim",
      "description": "Similar religious beliefs as me - How important is it to you",
      "value": "0. not at all important,\n6. very important",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_financially_secure_successful_ambitious",
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_financially_secure",
      "description": "Financial security - How financially secure should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_successful_ambitious",
      "description": "Successful/ambitious - How successful/ambitious should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_confident_assertive",
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_confident",
      "description": "Level of confidence - How confident should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_assertive",
      "description": "Level of assertiveness - How assertive should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_intelligence_educated",
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_intelligence",
      "description": "Level of intelligence - How intelligent should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_educated",
      "description": "Level of education - How educated should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_kind_supportive",
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_kind",
      "description": "Level of kindness - How kind should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_supportive",
      "description": "Supportive - How supportive should your partner be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_attractiveness",
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_attractive_body",
      "description": "Attractive body - How attractive should your partner's body be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "pref_level_attractive_face",
      "description": "Attractive face - How attractive should your partner's face be?",
      "value": "0. not at all,\n6. very",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "imp_age",
      "description": "How important is the age of your ideal long-term partner?",
      "value": "0. not at all important,\n6. very important",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "ideal_age",
      "description": "The perfect age for my ideal long-term partner is __ years old.",
      "@type": "propertyValue"
    },
    {
      "name": "ideal_age_rel",
      "description": "The perfect age for my ideal long-term partner is __ years old.",
      "@type": "propertyValue"
    },
    {
      "name": "imp_height",
      "description": "How important is your ideal long-term partner’s height?",
      "value": "0. not at all important,\n6. very important",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "ideal_height",
      "description": "My ideal long-term partner’s height is __.",
      "@type": "propertyValue"
    },
    {
      "name": "interest_single",
      "description": "How interested are you in each of the following relationship options at some time in the future? - Being non-partnered (e.g., solo, single, not committed)",
      "value": "0. not at all interested,\n6. very interested",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "interest_sexrel",
      "description": "How interested are you in each of the following relationship options at some time in the future? - Having sexual, non-romantic relationship(s) (e.g., hookups, one-night stands)",
      "value": "0. not at all interested,\n6. very interested",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "interest_nonmonrel",
      "description": "How interested are you in each of the following relationship options at some time in the future? -Having non-monogamous relationship(s)",
      "value": "0. not at all interested,\n6. very interested",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    },
    {
      "name": "interest_monrel",
      "description": "How interested are you in each of the following relationship options at some time in the future? - Having monogamous relationship(s)",
      "value": "0. not at all interested,\n6. very interested",
      "maxValue": 6,
      "minValue": 0,
      "@type": "propertyValue"
    }
  ]
}`

Save Data

data_included_documented = data_included
write.csv(data_included_documented, file = "data_included_documented.csv")