Codebook example with SPSS dataset
Ruben Arslan
2024-10-14
Source:vignettes/codebook_sav.Rmd
codebook_sav.Rmd
knit_by_pkgdown <- !is.null(knitr::opts_chunk$get("fig.retina"))
ggplot2::theme_set(ggplot2::theme_bw())
knitr::opts_chunk$set(warning = TRUE, message = TRUE, error = FALSE, echo = TRUE)
library(dplyr)
library(codebook)In this vignette, you can see how to use the metadata that is often
already stored in SPSS and Stata files. It’s easy. All we need is the
rio::import function. For files with the right file
extension, we can automatically pick the right way to import the data.
Here, we’re downloading straight from the Open Science Framework, so we
have to specify the file extension.
We select a subset of variables, just to keep it short. The data were shared by Emanuel Jauk in a project called How alluring are dark personalities? The Dark Triad and attractiveness in speed dating.
Often, files imported from SPSS or Stata to R will not have their
missings coded properly. Here, that is not the case, but if you find
yourself with such a dataset, the detect_missing function
makes it easy to recognise common ways to specify missing data
(e.g. negative values, labelled values, 99/999).
darktriad <- rio::import("https://osf.io/j4fcb/download", format = "sav")
if (!knit_by_pkgdown) {
darktriad <- darktriad %>%
select(DG, sex, relStat, education, NPI_avg)
}
metadata(darktriad)$name <- "How alluring are dark personalities? The Dark Triad and attractiveness in speed dating"
metadata(darktriad)$description <- paste0("The data to this speed dating study comes in two different formats: Personwise (one record for each individual) and dyadic (pairwise; one record for each date). The respective SPSS files are named \"DarkTriadDate_person.sav\" and \"DarkTriadDate_dyad.sav\".
### Download link
[Open Science Framework](https://osf.io/j4fcb/download)
### Personwise datafile
The personwise datafile contains individual differences variables and perceiver and target effects according to the social relations model. These are centered marginal means that were calculated according to the formulae provided by Kenny, Kashy, and Cook (2006). These effects are not (!) based on multilevel analyses.
### Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.
Variables are labeled in SPSS.
### A list of important abbreviations, prefixes and suffixes:
* _acq = acquaintance (i.e., variables with this suffix are controlled for prior * acquaintance)
* avg = average
* _rat = rating variable
* _z = z-standardized score
* BC = booty call
* DG = dating group (three groups in this study)
* FIPI = five item personality inventory
* FS = friendship
* FWB = friends-with-benefits
* Int = Intelligence
* Like = Likeability
* LTR = long-term relationship
* MACHIV = mach-iv machiavellianism questionnaire
* N, E, O, A, C = Big5
* NPI = narcissistic personality inventory
* ONS = one night stand
* P = perceiver
* PA = physical attractiveness
* PercEff = perceiver effect
* SD = speed dating
* SRM = social relations model
* SRP = self-report psychopathy scale
* STR = short-term relationship
* T = target
* TargEff = target effect
")
metadata(darktriad)$identifier <- "https://osf.io/jvk3u/"
metadata(darktriad)$datePublished <- "2015-10-07"
metadata(darktriad)$creator <- list(
"@type" = "Person",
givenName = "Emanuel", familyName = "Jauk",
email = "emanuel.jauk@uni‐graz.at",
affiliation = list("@type" = "Organization",
name = "Karl‐Franzens‐Universität Graz, Austria"))
metadata(darktriad)$citation <- "Jauk, E., Neubauer, A. C., Mairunteregger, T., Pemp, S., Sieber, K. P., & Rauthmann, J. F. (2016). How alluring are dark personalities? The Dark Triad and attractiveness in speed dating. European Journal of Personality, 30(2), 125-138."
metadata(darktriad)$url <- "https://osf.io/j4fcb/"
metadata(darktriad)$temporalCoverage <- "2015"
metadata(darktriad)$spatialCoverage <- "Graz, Austria"
metadata(darktriad)$distribution = list(
list("@type" = "DataDownload",
"requiresSubscription" = "https://schema.org/True",
"encodingFormat" = "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
contentUrl = "https://osf.io/j4fcb/download")
)
# We don't want to look at the code in the codebook.
knitr::opts_chunk$set(warning = TRUE, message = TRUE, echo = FALSE)Now, we can immediately generate a codebook.
Metadata
Description
Dataset name: How alluring are dark personalities? The Dark Triad and attractiveness in speed dating
The data to this speed dating study comes in two different formats: Personwise (one record for each individual) and dyadic (pairwise; one record for each date). The respective SPSS files are named “DarkTriadDate_person.sav” and “DarkTriadDate_dyad.sav”.
Personwise datafile
The personwise datafile contains individual differences variables and perceiver and target effects according to the social relations model. These are centered marginal means that were calculated according to the formulae provided by Kenny, Kashy, and Cook (2006). These effects are not (!) based on multilevel analyses.
Preprocessing
All rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.
Variables are labeled in SPSS.
A list of important abbreviations, prefixes and suffixes:
- _acq = acquaintance (i.e., variables with this suffix are controlled for prior * acquaintance)
- avg = average
- _rat = rating variable
- _z = z-standardized score
- BC = booty call
- DG = dating group (three groups in this study)
- FIPI = five item personality inventory
- FS = friendship
- FWB = friends-with-benefits
- Int = Intelligence
- Like = Likeability
- LTR = long-term relationship
- MACHIV = mach-iv machiavellianism questionnaire
- N, E, O, A, C = Big5
- NPI = narcissistic personality inventory
- ONS = one night stand
- P = perceiver
- PA = physical attractiveness
- PercEff = perceiver effect
- SD = speed dating
- SRM = social relations model
- SRP = self-report psychopathy scale
- STR = short-term relationship
- T = target
- TargEff = target effect
Metadata for search engines
Temporal Coverage: 2015
Spatial Coverage: Graz, Austria
Citation: Jauk, E., Neubauer, A. C., Mairunteregger, T., Pemp, S., Sieber, K. P., & Rauthmann, J. F. (2016). How alluring are dark personalities? The Dark Triad and attractiveness in speed dating. European Journal of Personality, 30(2), 125-138.
Identifier: https://osf.io/jvk3u/
Date published: 2015-10-07
Creator:
| name | value |
|---|---|
| @type | Person |
| givenName | Emanuel |
| familyName | Jauk |
| emanuel.jauk@uni‐graz.at | |
| affiliation | Organization , Karl‐Franzens‐Universität Graz, Austria |
|
|
Variables
SD_Code
speed dating code
Distribution of values for SD_Code
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SD_Code | speed dating code | numeric | 0 | 1 | 101 | 146 | 246 | 172.6333 | 52.2639 | ▇▅▁▃▇ | F8.0 |
DG
dating group
Distribution of values for DG
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DG | dating group | numeric | 0 | 1 | 1 | 2 | 3 | 2.033333 | 0.7709618 | ▆▁▇▁▆ | F8.0 |
DG_size
dating group size
Distribution of values for DG_size
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| DG_size | dating group size | numeric | 0 | 1 | 11 | 15 | 19 | 15.35556 | 2.88861 | ▃▆▃▁▇ | F8.0 |
DG_size_acq
dating group size, corrected for prior acquaintance
Distribution of values for DG_size_acq
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DG_size_acq | dating group size, corrected for prior acquaintance | numeric | 0 | 1 | 7 | 14 | 19 | 14.22222 | 2.936702 | ▁▆▇▆▇ | F8.0 | 11 |
age
age
Distribution of values for age
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| age | age | numeric | 0 | 1 | 18 | 22 | 32 | 22.86667 | 3.094758 | ▅▇▅▂▁ | F3.0 | 5 |
sex
sex
Distribution of values for sex
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| sex | sex | numeric | 0 | 1 | 1 | 1 | 2 | 1.488889 | 0.502677 | ▇▁▁▁▇ | F1.0 | 5 |
| name | value |
|---|---|
| female | 1 |
| male | 2 |
height
height
Distribution of values for height
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| height | height | numeric | 0 | 1 | 156 | 174 | 196 | 174.5444 | 9.26169 | ▃▇▇▃▃ | F3.0 | 5 |
weight
weight
Distribution of values for weight
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| weight | weight | numeric | 0 | 1 | 46 | 70 | 106 | 68.91111 | 11.28452 | ▃▇▆▂▁ | F3.0 | 5 |
relStat
relationship status
Distribution of values for relStat
1 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| relStat | relationship status | numeric | 1 | 0.9888889 | 1 | 1 | 3 | 1.089888 | 0.3247534 | ▇▁▁▁▁ | F8.0 | 10 |
| name | value |
|---|---|
| single | 1 |
| in a relationship | 2 |
| living separately / divorced | 3 |
relStat_other
other relationship status
Distribution of values for relStat_other
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|
| relStat_other | other relationship status | character | 0 | 1 | 2 | 89 | 0 | 25 | 0 | A234 | 5 |
education
highest educational attainment
Distribution of values for education
1 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| education | highest educational attainment | numeric | 1 | 0.9888889 | 4 | 4 | 5 | 4.168539 | 0.3764655 | ▇▁▁▁▂ | F1.0 | 5 |
| name | value |
|---|---|
| nine years schooling only | 1 |
| professional training | 2 |
| vocational school | 3 |
| university-entrance diploma | 4 |
| academic degree | 5 |
contracept
hormonal contraception
Distribution of values for contracept
44 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| contracept | hormonal contraception | numeric | 44 | 0.5111111 | 1 | 2 | 2 | 1.652174 | 0.4815434 | ▅▁▁▁▇ | F1.0 | 5 |
| name | value |
|---|---|
| yes | 1 |
| no | 2 |
date
past experience with speed dating
Distribution of values for date
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| date | past experience with speed dating | numeric | 0 | 1 | 1 | 2 | 2 | 1.9 | 0.3016807 | ▁▁▁▁▇ | F1.0 | 5 |
| name | value |
|---|---|
| yes | 1 |
| no | 2 |
NPI_avg
narcissistic personality inventory - average
Distribution of values for NPI_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NPI_avg | narcissistic personality inventory - average | numeric | 0 | 1 | 1.7 | 2.6 | 3.6 | 2.611944 | 0.3468807 | ▁▅▇▂▁ | F8.2 | 10 |
SRP_avg
self-report psychopathy scale - average
Distribution of values for SRP_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SRP_avg | self-report psychopathy scale - average | numeric | 0 | 1 | 1.3 | 2.1 | 3.5 | 2.061539 | 0.3653243 | ▅▇▅▁▁ | F8.2 | 10 |
MACHIV_avg
mach-iv - average
Distribution of values for MACHIV_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MACHIV_avg | mach-iv - average | numeric | 0 | 1 | 1.4 | 2.7 | 4.8 | 2.749383 | 0.6652734 | ▂▇▆▂▁ | F8.2 | 12 |
BFI_N_avg
big five inventory: neuroticism - average
Distribution of values for BFI_N_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFI_N_avg | big five inventory: neuroticism - average | numeric | 0 | 1 | 1 | 2.8 | 4.8 | 2.794444 | 0.934346 | ▅▆▇▅▂ | F8.2 | 11 |
BFI_E_avg
big five inventory: extraversion - average
Distribution of values for BFI_E_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFI_E_avg | big five inventory: extraversion - average | numeric | 0 | 1 | 1 | 3.8 | 5 | 3.722222 | 0.8032977 | ▁▁▃▇▅ | F8.2 | 11 |
BFI_O_avg
big five inventory: openness - average
Distribution of values for BFI_O_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFI_O_avg | big five inventory: openness - average | numeric | 0 | 1 | 1 | 4.2 | 5 | 4.072222 | 0.7599938 | ▁▁▂▅▇ | F8.2 | 11 |
BFI_A_avg
big five inventory: agreeableness - average
Distribution of values for BFI_A_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFI_A_avg | big five inventory: agreeableness - average | numeric | 0 | 1 | 1.5 | 3.2 | 4.8 | 3.197222 | 0.6945761 | ▂▅▃▇▁ | F8.2 | 11 |
BFI_C_avg
big five inventory: conscientiousness - average
Distribution of values for BFI_C_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFI_C_avg | big five inventory: conscientiousness - average | numeric | 0 | 1 | 1.8 | 3.5 | 4.8 | 3.352778 | 0.7651966 | ▅▃▆▇▃ | F8.2 | 11 |
PA_R1
physical attractiveness - rater1(f)
Distribution of values for PA_R1
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PA_R1 | physical attractiveness - rater1(f) | numeric | 0 | 1 | 1 | 4 | 7 | 3.633333 | 1.126294 | ▂▆▇▂▁ | F8.2 | 14 |
PA_R2
physical attractiveness - rater2(f)
Distribution of values for PA_R2
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PA_R2 | physical attractiveness - rater2(f) | numeric | 0 | 1 | 2 | 5 | 7 | 4.7 | 1.22199 | ▅▅▇▃▂ | F8.2 |
PA_R3
physical attractiveness - rater3(m)
Distribution of values for PA_R3
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PA_R3 | physical attractiveness - rater3(m) | numeric | 0 | 1 | 1 | 3 | 7 | 3.155556 | 1.505877 | ▇▆▅▃▂ | F8.2 |
PA_R4
physical attractiveness - rater4(m)
Distribution of values for PA_R4
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss |
|---|---|---|---|---|---|---|---|---|---|---|---|
| PA_R4 | physical attractiveness - rater4(m) | numeric | 0 | 1 | 1 | 4 | 7 | 4.144444 | 1.625368 | ▆▇▃▆▇ | F8.2 |
PA_avg
physical attractiveness - average
Distribution of values for PA_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PA_avg | physical attractiveness - average | numeric | 0 | 1 | 1.8 | 3.8 | 6.5 | 3.908333 | 1.141929 | ▅▇▇▇▂ | F8.2 | 19 |
BMI
body mass index
Distribution of values for BMI
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BMI | body mass index | numeric | 0 | 1 | 18 | 23 | 31 | 22.54685 | 2.753195 | ▆▇▆▃▁ | F8.2 | 10 |
SOI_R_B_avg
sociosexual orientation inventory revised: behavior - average
Distribution of values for SOI_R_B_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SOI_R_B_avg | sociosexual orientation inventory revised: behavior - average | numeric | 0 | 1 | 1 | 3 | 8.7 | 3.62963 | 2.111998 | ▇▅▃▂▂ | F8.2 | 16 |
SOI_R_A_avg
sociosexual orientation inventory revised: attitude - average
Distribution of values for SOI_R_A_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SOI_R_A_avg | sociosexual orientation inventory revised: attitude - average | numeric | 0 | 1 | 1.7 | 6.8 | 9 | 6.481482 | 2.100539 | ▂▂▅▅▇ | F8.2 | 17 |
SOI_R_D_avg
sociosexual orientation inventory revised: desire - average
Distribution of values for SOI_R_D_avg
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | format.spss | display_width |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SOI_R_D_avg | sociosexual orientation inventory revised: desire - average | numeric | 0 | 1 | 1 | 5.3 | 9 | 5.111111 | 2.092135 | ▃▅▆▇▃ | F8.2 | 15 |
TargEff__choice_relFrequ_acq {#TargEff__choice_relFrequ_acq .tabset}
SRM target effect: actual choice
TargEff__STR_avg_acq {#TargEff__STR_avg_acq .tabset}
SRM target effect: short-term relationship (aggregated)
PercEff__choice_relFrequ_acq {#PercEff__choice_relFrequ_acq .tabset}
SRM perceiver effect: actual choice
PercEff__STR_avg_acq {#PercEff__STR_avg_acq .tabset}
SRM perceiver effect: short-term relationship (aggregated)
Codebook table
JSON-LD metadata
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "How alluring are dark personalities? The Dark Triad and attractiveness in speed dating",
"description": "The data to this speed dating study comes in two different formats: Personwise (one record for each individual) and dyadic (pairwise; one record for each date). The respective SPSS files are named \"DarkTriadDate_person.sav\" and \"DarkTriadDate_dyad.sav\".\n\n### Download link\n[Open Science Framework](https://osf.io/j4fcb/download)\n\n### Personwise datafile \nThe personwise datafile contains individual differences variables and perceiver and target effects according to the social relations model. These are centered marginal means that were calculated according to the formulae provided by Kenny, Kashy, and Cook (2006). These effects are not (!) based on multilevel analyses.\n\n### Preprocessing\nAll rating variables (i.e., actual choice, friendship, short-term relationship etc.) were corrected for prior acquaintance, which means that dates wih prior acquaintance were excluded (set to missing) on a dyadic basis.\n\nVariables are labeled in SPSS. \n\n### A list of important abbreviations, prefixes and suffixes:\n\n* _acq = acquaintance (i.e., variables with this suffix are controlled for prior * acquaintance)\n* avg = average\n* _rat = rating variable\n* _z = z-standardized score\n* BC = booty call\n* DG = dating group (three groups in this study)\n* FIPI = five item personality inventory\n* FS = friendship\n* FWB = friends-with-benefits\n* Int = Intelligence\n* Like = Likeability\n* LTR = long-term relationship\n* MACHIV = mach-iv machiavellianism questionnaire\n* N, E, O, A, C = Big5\n* NPI = narcissistic personality inventory\n* ONS = one night stand\n* P = perceiver\n* PA = physical attractiveness\n* PercEff = perceiver effect\n* SD = speed dating\n* SRM = social relations model\n* SRP = self-report psychopathy scale\n* STR = short-term relationship\n* T = target\n* TargEff = target effect\n\n\n\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 0.9.5).",
"identifier": "https://osf.io/jvk3u/",
"datePublished": "2015-10-07",
"creator": {
"@type": "Person",
"givenName": "Emanuel",
"familyName": "Jauk",
"email": "emanuel.jauk@uni‐graz.at",
"affiliation": {
"@type": "Organization",
"name": "Karl‐Franzens‐Universität Graz, Austria"
}
},
"citation": "Jauk, E., Neubauer, A. C., Mairunteregger, T., Pemp, S., Sieber, K. P., & Rauthmann, J. F. (2016). How alluring are dark personalities? The Dark Triad and attractiveness in speed dating. European Journal of Personality, 30(2), 125-138.",
"url": "https://osf.io/j4fcb/",
"temporalCoverage": "2015",
"spatialCoverage": "Graz, Austria",
"distribution": [
{
"@type": "DataDownload",
"requiresSubscription": "https://schema.org/True",
"encodingFormat": "https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml",
"contentUrl": "https://osf.io/j4fcb/download"
}
],
"keywords": ["SD_Code", "DG", "DG_size", "DG_size_acq", "age", "sex", "height", "weight", "relStat", "relStat_other", "education", "contracept", "date", "NPI_avg", "SRP_avg", "MACHIV_avg", "BFI_N_avg", "BFI_E_avg", "BFI_O_avg", "BFI_A_avg", "BFI_C_avg", "PA_R1", "PA_R2", "PA_R3", "PA_R4", "PA_avg", "BMI", "SOI_R_B_avg", "SOI_R_A_avg", "SOI_R_D_avg", "TargEff__choice_relFrequ_acq", "TargEff__FS_avg_acq", "TargEff__ONS_avg_acq", "TargEff__BC_avg_acq", "TargEff__FWB_avg_acq", "TargEff__STR_avg_acq", "TargEff__LTR_avg_acq", "TargEff__PA_avg_acq", "TargEff__Like_avg_acq", "TargEff__Int_avg_acq", "TargEff__FIPI_N_avg_acq", "TargEff__FIPI_E_avg_acq", "TargEff__FIPI_O_avg_acq", "TargEff__FIPI_A_avg_acq", "TargEff__FIPI_C_avg_acq", "PercEff__choice_relFrequ_acq", "PercEff__FS_avg_acq", "PercEff__ONS_avg_acq", "PercEff__BC_avg_acq", "PercEff__FWB_avg_acq", "PercEff__STR_avg_acq", "PercEff__LTR_avg_acq", "PercEff__PA_avg_acq", "PercEff__Like_avg_acq", "PercEff__Int_avg_acq", "PercEff__FIPI_N_avg_acq", "PercEff__FIPI_E_avg_acq", "PercEff__FIPI_O_avg_acq", "PercEff__FIPI_A_avg_acq", "PercEff__FIPI_C_avg_acq"],
"@context": "https://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "SD_Code",
"description": "speed dating code",
"@type": "propertyValue"
},
{
"name": "DG",
"description": "dating group",
"@type": "propertyValue"
},
{
"name": "DG_size",
"description": "dating group size",
"@type": "propertyValue"
},
{
"name": "DG_size_acq",
"description": "dating group size, corrected for prior acquaintance",
"@type": "propertyValue"
},
{
"name": "age",
"description": "age",
"@type": "propertyValue"
},
{
"name": "sex",
"description": "sex",
"value": "1. female,\n2. male",
"maxValue": 2,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "height",
"description": "height",
"@type": "propertyValue"
},
{
"name": "weight",
"description": "weight",
"@type": "propertyValue"
},
{
"name": "relStat",
"description": "relationship status",
"value": "1. single,\n2. in a relationship,\n3. living separately / divorced",
"maxValue": 3,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "relStat_other",
"description": "other relationship status",
"@type": "propertyValue"
},
{
"name": "education",
"description": "highest educational attainment",
"value": "1. nine years schooling only,\n2. professional training,\n3. vocational school,\n4. university-entrance diploma,\n5. academic degree",
"maxValue": 5,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "contracept",
"description": "hormonal contraception",
"value": "1. yes,\n2. no",
"maxValue": 2,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "date",
"description": "past experience with speed dating",
"value": "1. yes,\n2. no",
"maxValue": 2,
"minValue": 1,
"@type": "propertyValue"
},
{
"name": "NPI_avg",
"description": "narcissistic personality inventory - average",
"@type": "propertyValue"
},
{
"name": "SRP_avg",
"description": "self-report psychopathy scale - average",
"@type": "propertyValue"
},
{
"name": "MACHIV_avg",
"description": "mach-iv - average",
"@type": "propertyValue"
},
{
"name": "BFI_N_avg",
"description": "big five inventory: neuroticism - average",
"@type": "propertyValue"
},
{
"name": "BFI_E_avg",
"description": "big five inventory: extraversion - average",
"@type": "propertyValue"
},
{
"name": "BFI_O_avg",
"description": "big five inventory: openness - average",
"@type": "propertyValue"
},
{
"name": "BFI_A_avg",
"description": "big five inventory: agreeableness - average",
"@type": "propertyValue"
},
{
"name": "BFI_C_avg",
"description": "big five inventory: conscientiousness - average",
"@type": "propertyValue"
},
{
"name": "PA_R1",
"description": "physical attractiveness - rater1(f)",
"@type": "propertyValue"
},
{
"name": "PA_R2",
"description": "physical attractiveness - rater2(f)",
"@type": "propertyValue"
},
{
"name": "PA_R3",
"description": "physical attractiveness - rater3(m)",
"@type": "propertyValue"
},
{
"name": "PA_R4",
"description": "physical attractiveness - rater4(m)",
"@type": "propertyValue"
},
{
"name": "PA_avg",
"description": "physical attractiveness - average",
"@type": "propertyValue"
},
{
"name": "BMI",
"description": "body mass index",
"@type": "propertyValue"
},
{
"name": "SOI_R_B_avg",
"description": "sociosexual orientation inventory revised: behavior - average",
"@type": "propertyValue"
},
{
"name": "SOI_R_A_avg",
"description": "sociosexual orientation inventory revised: attitude - average",
"@type": "propertyValue"
},
{
"name": "SOI_R_D_avg",
"description": "sociosexual orientation inventory revised: desire - average",
"@type": "propertyValue"
},
{
"name": "TargEff__choice_relFrequ_acq",
"description": "SRM target effect: actual choice",
"@type": "propertyValue"
},
{
"name": "TargEff__FS_avg_acq",
"description": "SRM target effect: friendship",
"@type": "propertyValue"
},
{
"name": "TargEff__ONS_avg_acq",
"description": "SRM target effect: one night stand",
"@type": "propertyValue"
},
{
"name": "TargEff__BC_avg_acq",
"description": "SRM target effect: booty call",
"@type": "propertyValue"
},
{
"name": "TargEff__FWB_avg_acq",
"description": "SRM target effect: friends-with-benefits",
"@type": "propertyValue"
},
{
"name": "TargEff__STR_avg_acq",
"description": "SRM target effect: short-term relationship (aggregated)",
"@type": "propertyValue"
},
{
"name": "TargEff__LTR_avg_acq",
"description": "SRM target effect: long-term relationship",
"@type": "propertyValue"
},
{
"name": "TargEff__PA_avg_acq",
"description": "SRM target effect: physical attractiveness",
"@type": "propertyValue"
},
{
"name": "TargEff__Like_avg_acq",
"description": "SRM target effect: likeability",
"@type": "propertyValue"
},
{
"name": "TargEff__Int_avg_acq",
"description": "SRM target effect: intelligence",
"@type": "propertyValue"
},
{
"name": "TargEff__FIPI_N_avg_acq",
"description": "SRM target effect: neuroticism",
"@type": "propertyValue"
},
{
"name": "TargEff__FIPI_E_avg_acq",
"description": "SRM target effect: extraversion",
"@type": "propertyValue"
},
{
"name": "TargEff__FIPI_O_avg_acq",
"description": "SRM target effect: openness",
"@type": "propertyValue"
},
{
"name": "TargEff__FIPI_A_avg_acq",
"description": "SRM target effect: agreeableness",
"@type": "propertyValue"
},
{
"name": "TargEff__FIPI_C_avg_acq",
"description": "SRM target effect: conscientiousness",
"@type": "propertyValue"
},
{
"name": "PercEff__choice_relFrequ_acq",
"description": "SRM perceiver effect: actual choice",
"@type": "propertyValue"
},
{
"name": "PercEff__FS_avg_acq",
"description": "SRM perceiver effect: friendship",
"@type": "propertyValue"
},
{
"name": "PercEff__ONS_avg_acq",
"description": "SRM perceiver effect: one night stand",
"@type": "propertyValue"
},
{
"name": "PercEff__BC_avg_acq",
"description": "SRM perceiver effect: booty call",
"@type": "propertyValue"
},
{
"name": "PercEff__FWB_avg_acq",
"description": "SRM perceiver effect: friends-with-benefits",
"@type": "propertyValue"
},
{
"name": "PercEff__STR_avg_acq",
"description": "SRM perceiver effect: short-term relationship (aggregated)",
"@type": "propertyValue"
},
{
"name": "PercEff__LTR_avg_acq",
"description": "SRM perceiver effect: long-term relationship",
"@type": "propertyValue"
},
{
"name": "PercEff__PA_avg_acq",
"description": "SRM perceiver effect: physical attractiveness",
"@type": "propertyValue"
},
{
"name": "PercEff__Like_avg_acq",
"description": "SRM perceiver effect: likeability",
"@type": "propertyValue"
},
{
"name": "PercEff__Int_avg_acq",
"description": "SRM perceiver effect: intelligence",
"@type": "propertyValue"
},
{
"name": "PercEff__FIPI_N_avg_acq",
"description": "SRM perceiver effect: neuroticism",
"@type": "propertyValue"
},
{
"name": "PercEff__FIPI_E_avg_acq",
"description": "SRM perceiver effect: extraversion",
"@type": "propertyValue"
},
{
"name": "PercEff__FIPI_O_avg_acq",
"description": "SRM perceiver effect: openness",
"@type": "propertyValue"
},
{
"name": "PercEff__FIPI_A_avg_acq",
"description": "SRM perceiver effect: agreeableness",
"@type": "propertyValue"
},
{
"name": "PercEff__FIPI_C_avg_acq",
"description": "SRM perceiver effect: conscientiousness",
"@type": "propertyValue"
}
]
}`