Codebook example with SPSS dataset

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.

  • URL: https://osf.io/j4fcb/

  • Identifier: https://osf.io/jvk3u/

  • Date published: 2015-10-07

  • Creator:

name value
@type Person
givenName Emanuel
familyName Jauk
email ‐graz.at
affiliation Organization , Karl‐Franzens‐Universität Graz, Austria
x
DataDownload
x
https://schema.org/True
x
https://www.loc.gov/preservation/digital/formats/fdd/fdd000469.shtml
x
https://osf.io/j4fcb/download
x
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

Variables

SD_Code

speed dating code

Distribution

Distribution of values for SD_Code

Distribution of values for SD_Code

0 missing values.

Summary statistics

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

Distribution of values for DG

Distribution of values for DG

0 missing values.

Summary statistics

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

Distribution of values for DG_size

Distribution of values for DG_size

0 missing values.

Summary statistics

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

Distribution of values for DG_size_acq

Distribution of values for DG_size_acq

0 missing values.

Summary statistics

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

Distribution of values for age

Distribution of values for age

0 missing values.

Summary statistics

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

Distribution of values for sex

Distribution of values for sex

0 missing values.

Summary statistics

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

Value labels

Response choices
name value
female 1
male 2

height

height

Distribution

Distribution of values for height

Distribution of values for height

0 missing values.

Summary statistics

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

Distribution of values for weight

Distribution of values for weight

0 missing values.

Summary statistics

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

Distribution of values for relStat

Distribution of values for relStat

1 missing values.

Summary statistics

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

Value labels

Response choices
name value
single 1
in a relationship 2
living separately / divorced 3

relStat_other

other relationship status

Distribution

Distribution of values for relStat_other

Distribution of values for relStat_other

0 missing values.

Summary statistics

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

Distribution of values for education

Distribution of values for education

1 missing values.

Summary statistics

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

Value labels

Response choices
name value
nine years schooling only 1
professional training 2
vocational school 3
university-entrance diploma 4
academic degree 5

contracept

hormonal contraception

Distribution

Distribution of values for contracept

Distribution of values for contracept

44 missing values.

Summary statistics

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

Value labels

Response choices
name value
yes 1
no 2

date

past experience with speed dating

Distribution

Distribution of values for date

Distribution of values for date

0 missing values.

Summary statistics

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

Value labels

Response choices
name value
yes 1
no 2

NPI_avg

narcissistic personality inventory - average

Distribution

Distribution of values for NPI_avg

Distribution of values for NPI_avg

0 missing values.

Summary statistics

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

Distribution of values for SRP_avg

Distribution of values for SRP_avg

0 missing values.

Summary statistics

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

Distribution of values for MACHIV_avg

Distribution of values for MACHIV_avg

0 missing values.

Summary statistics

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

Distribution of values for BFI_N_avg

Distribution of values for BFI_N_avg

0 missing values.

Summary statistics

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

Distribution of values for BFI_E_avg

Distribution of values for BFI_E_avg

0 missing values.

Summary statistics

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

Distribution of values for BFI_O_avg

Distribution of values for BFI_O_avg

0 missing values.

Summary statistics

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

Distribution of values for BFI_A_avg

Distribution of values for BFI_A_avg

0 missing values.

Summary statistics

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

Distribution of values for BFI_C_avg

Distribution of values for BFI_C_avg

0 missing values.

Summary statistics

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

Distribution of values for PA_R1

Distribution of values for PA_R1

0 missing values.

Summary statistics

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

Distribution of values for PA_R2

Distribution of values for PA_R2

0 missing values.

Summary statistics

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

Distribution of values for PA_R3

Distribution of values for PA_R3

0 missing values.

Summary statistics

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

Distribution of values for PA_R4

Distribution of values for PA_R4

0 missing values.

Summary statistics

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

Distribution of values for PA_avg

Distribution of values for PA_avg

0 missing values.

Summary statistics

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

Distribution of values for BMI

Distribution of values for BMI

0 missing values.

Summary statistics

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

Distribution of values for SOI_R_B_avg

Distribution of values for SOI_R_B_avg

0 missing values.

Summary statistics

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

Distribution of values for SOI_R_A_avg

Distribution of values for SOI_R_A_avg

0 missing values.

Summary statistics

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

Distribution of values for SOI_R_D_avg

Distribution of values for SOI_R_D_avg

0 missing values.

Summary statistics

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

Distribution

Distribution of values for TargEff__choice_relFrequ_acq

Distribution of values for TargEff__choice_relFrequ_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__choice_relFrequ_acq SRM target effect: actual choice numeric 0 1 -0.39 -0.0056 0.61 1.82e-05 0.257597 ▇▇▇▃▂ F8.2 34

TargEff__FS_avg_acq {#TargEff__FS_avg_acq .tabset}

SRM target effect: friendship

Distribution

Distribution of values for TargEff__FS_avg_acq

Distribution of values for TargEff__FS_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FS_avg_acq SRM target effect: friendship numeric 0 1 -1.5 -0.065 1.2 2.51e-05 0.6740996 ▂▃▇▅▅ F8.2 29

TargEff__ONS_avg_acq {#TargEff__ONS_avg_acq .tabset}

SRM target effect: one night stand

Distribution

Distribution of values for TargEff__ONS_avg_acq

Distribution of values for TargEff__ONS_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__ONS_avg_acq SRM target effect: one night stand numeric 0 1 -2 -0.22 3.1 2.23e-05 1.417459 ▇▅▆▃▃ F8.2 21

TargEff__BC_avg_acq {#TargEff__BC_avg_acq .tabset}

SRM target effect: booty call

Distribution

Distribution of values for TargEff__BC_avg_acq

Distribution of values for TargEff__BC_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__BC_avg_acq SRM target effect: booty call numeric 0 1 -1.6 -0.13 3.3 -4.1e-05 1.32644 ▇▃▃▂▁ F8.2 28

TargEff__FWB_avg_acq {#TargEff__FWB_avg_acq .tabset}

SRM target effect: friends-with-benefits

Distribution

Distribution of values for TargEff__FWB_avg_acq

Distribution of values for TargEff__FWB_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FWB_avg_acq SRM target effect: friends-with-benefits numeric 0 1 -1.6 -0.16 3.2 -2.81e-05 1.244604 ▇▆▅▂▁ F8.2 30

TargEff__STR_avg_acq {#TargEff__STR_avg_acq .tabset}

SRM target effect: short-term relationship (aggregated)

Distribution

Distribution of values for TargEff__STR_avg_acq

Distribution of values for TargEff__STR_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__STR_avg_acq SRM target effect: short-term relationship (aggregated) numeric 0 1 -1.7 -0.23 3.2 -1.56e-05 1.318697 ▇▅▅▂▂ F8.2 13

TargEff__LTR_avg_acq {#TargEff__LTR_avg_acq .tabset}

SRM target effect: long-term relationship

Distribution

Distribution of values for TargEff__LTR_avg_acq

Distribution of values for TargEff__LTR_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__LTR_avg_acq SRM target effect: long-term relationship numeric 0 1 -1.4 -0.066 3.3 -1.73e-05 0.9444001 ▇▇▅▁▁ F8.2 27

TargEff__PA_avg_acq {#TargEff__PA_avg_acq .tabset}

SRM target effect: physical attractiveness

Distribution

Distribution of values for TargEff__PA_avg_acq

Distribution of values for TargEff__PA_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__PA_avg_acq SRM target effect: physical attractiveness numeric 0 1 -2.2 0.22 2.5 -2.62e-05 1.177495 ▅▅▇▆▂ F8.2 28

TargEff__Like_avg_acq {#TargEff__Like_avg_acq .tabset}

SRM target effect: likeability

Distribution

Distribution of values for TargEff__Like_avg_acq

Distribution of values for TargEff__Like_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__Like_avg_acq SRM target effect: likeability numeric 0 1 -1.6 0.092 1.7 4.39e-05 0.7112554 ▃▅▇▆▁ F8.2 31

TargEff__Int_avg_acq {#TargEff__Int_avg_acq .tabset}

SRM target effect: intelligence

Distribution

Distribution of values for TargEff__Int_avg_acq

Distribution of values for TargEff__Int_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__Int_avg_acq SRM target effect: intelligence numeric 0 1 -1.2 -0.0082 1 2.54e-05 0.4567633 ▁▃▇▆▃ F8.2 29

TargEff__FIPI_N_avg_acq {#TargEff__FIPI_N_avg_acq .tabset}

SRM target effect: neuroticism

Distribution

Distribution of values for TargEff__FIPI_N_avg_acq

Distribution of values for TargEff__FIPI_N_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FIPI_N_avg_acq SRM target effect: neuroticism numeric 0 1 -1.7 -0.093 1.8 1.61e-05 0.7246828 ▂▇▆▆▂ F8.2 28

TargEff__FIPI_E_avg_acq {#TargEff__FIPI_E_avg_acq .tabset}

SRM target effect: extraversion

Distribution

Distribution of values for TargEff__FIPI_E_avg_acq

Distribution of values for TargEff__FIPI_E_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FIPI_E_avg_acq SRM target effect: extraversion numeric 0 1 -2.4 0.00083 1.7 -1.38e-05 0.8477838 ▁▂▇▇▃ F8.2 28

TargEff__FIPI_O_avg_acq {#TargEff__FIPI_O_avg_acq .tabset}

SRM target effect: openness

Distribution

Distribution of values for TargEff__FIPI_O_avg_acq

Distribution of values for TargEff__FIPI_O_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FIPI_O_avg_acq SRM target effect: openness numeric 0 1 -1.5 -0.032 1.6 5.2e-06 0.6533151 ▂▅▇▅▂ F8.2 28

TargEff__FIPI_A_avg_acq {#TargEff__FIPI_A_avg_acq .tabset}

SRM target effect: agreeableness

Distribution

Distribution of values for TargEff__FIPI_A_avg_acq

Distribution of values for TargEff__FIPI_A_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FIPI_A_avg_acq SRM target effect: agreeableness numeric 0 1 -1.6 0.076 1.3 -4.46e-05 0.5824646 ▂▃▇▇▂ F8.2 31

TargEff__FIPI_C_avg_acq {#TargEff__FIPI_C_avg_acq .tabset}

SRM target effect: conscientiousness

Distribution

Distribution of values for TargEff__FIPI_C_avg_acq

Distribution of values for TargEff__FIPI_C_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
TargEff__FIPI_C_avg_acq SRM target effect: conscientiousness numeric 0 1 -1.8 0.03 1.4 -3.87e-05 0.5820808 ▁▂▇▇▂ F8.2 29

PercEff__choice_relFrequ_acq {#PercEff__choice_relFrequ_acq .tabset}

SRM perceiver effect: actual choice

Distribution

Distribution of values for PercEff__choice_relFrequ_acq

Distribution of values for PercEff__choice_relFrequ_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__choice_relFrequ_acq SRM perceiver effect: actual choice numeric 0 1 -0.38 -0.016 0.62 3.98e-05 0.2266172 ▆▇▆▂▂ F8.2 34

PercEff__FS_avg_acq {#PercEff__FS_avg_acq .tabset}

SRM perceiver effect: friendship

Distribution

Distribution of values for PercEff__FS_avg_acq

Distribution of values for PercEff__FS_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FS_avg_acq SRM perceiver effect: friendship numeric 0 1 -2.7 0.096 2.5 -3.72e-05 0.9577896 ▁▃▇▆▁ F8.2 29

PercEff__ONS_avg_acq {#PercEff__ONS_avg_acq .tabset}

SRM perceiver effect: one night stand

Distribution

Distribution of values for PercEff__ONS_avg_acq

Distribution of values for PercEff__ONS_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__ONS_avg_acq SRM perceiver effect: one night stand numeric 0 1 -2 -0.23 3 1.57e-05 1.377661 ▇▆▅▅▂ F8.2 21

PercEff__BC_avg_acq {#PercEff__BC_avg_acq .tabset}

SRM perceiver effect: booty call

Distribution

Distribution of values for PercEff__BC_avg_acq

Distribution of values for PercEff__BC_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__BC_avg_acq SRM perceiver effect: booty call numeric 0 1 -1.8 -0.24 2.8 -1.25e-05 1.285049 ▇▆▃▅▃ F8.2 28

PercEff__FWB_avg_acq {#PercEff__FWB_avg_acq .tabset}

SRM perceiver effect: friends-with-benefits

Distribution

Distribution of values for PercEff__FWB_avg_acq

Distribution of values for PercEff__FWB_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FWB_avg_acq SRM perceiver effect: friends-with-benefits numeric 0 1 -1.8 -0.24 3 -1.04e-05 1.265079 ▇▇▅▃▂ F8.2 30

PercEff__STR_avg_acq {#PercEff__STR_avg_acq .tabset}

SRM perceiver effect: short-term relationship (aggregated)

Distribution

Distribution of values for PercEff__STR_avg_acq

Distribution of values for PercEff__STR_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__STR_avg_acq SRM perceiver effect: short-term relationship (aggregated) numeric 0 1 -1.8 -0.3 2.8 -2.4e-06 1.259888 ▇▆▃▅▂ F8.2 14

PercEff__LTR_avg_acq {#PercEff__LTR_avg_acq .tabset}

SRM perceiver effect: long-term relationship

Distribution

Distribution of values for PercEff__LTR_avg_acq

Distribution of values for PercEff__LTR_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__LTR_avg_acq SRM perceiver effect: long-term relationship numeric 0 1 -1.6 -0.16 2.7 -2e-06 1.084035 ▇▆▆▃▂ F8.2 27

PercEff__PA_avg_acq {#PercEff__PA_avg_acq .tabset}

SRM perceiver effect: physical attractiveness

Distribution

Distribution of values for PercEff__PA_avg_acq

Distribution of values for PercEff__PA_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__PA_avg_acq SRM perceiver effect: physical attractiveness numeric 0 1 -2.5 0.16 2.5 -3.41e-05 1.176363 ▃▅▇▇▂ F8.2 28

PercEff__Like_avg_acq {#PercEff__Like_avg_acq .tabset}

SRM perceiver effect: likeability

Distribution

Distribution of values for PercEff__Like_avg_acq

Distribution of values for PercEff__Like_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__Like_avg_acq SRM perceiver effect: likeability numeric 0 1 -2.5 0.063 2.1 3.56e-05 0.9432916 ▂▃▇▆▂ F8.2 31

PercEff__Int_avg_acq {#PercEff__Int_avg_acq .tabset}

SRM perceiver effect: intelligence

Distribution

Distribution of values for PercEff__Int_avg_acq

Distribution of values for PercEff__Int_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__Int_avg_acq SRM perceiver effect: intelligence numeric 0 1 -2.4 0.043 2 -3.88e-05 0.9692282 ▂▃▇▆▂ F8.2 29

PercEff__FIPI_N_avg_acq {#PercEff__FIPI_N_avg_acq .tabset}

SRM perceiver effect: neuroticism

Distribution

Distribution of values for PercEff__FIPI_N_avg_acq

Distribution of values for PercEff__FIPI_N_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FIPI_N_avg_acq SRM perceiver effect: neuroticism numeric 0 1 -2.2 0.12 2.5 3.22e-05 0.8724864 ▂▅▇▅▁ F8.2 28

PercEff__FIPI_E_avg_acq {#PercEff__FIPI_E_avg_acq .tabset}

SRM perceiver effect: extraversion

Distribution

Distribution of values for PercEff__FIPI_E_avg_acq

Distribution of values for PercEff__FIPI_E_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FIPI_E_avg_acq SRM perceiver effect: extraversion numeric 0 1 -1.6 0.12 1.7 -4.35e-05 0.7303606 ▃▆▇▇▁ F8.2 28

PercEff__FIPI_O_avg_acq {#PercEff__FIPI_O_avg_acq .tabset}

SRM perceiver effect: openness

Distribution

Distribution of values for PercEff__FIPI_O_avg_acq

Distribution of values for PercEff__FIPI_O_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FIPI_O_avg_acq SRM perceiver effect: openness numeric 0 1 -2.2 0.064 1.5 -1.9e-06 0.6694323 ▁▃▇▇▂ F8.2 28

PercEff__FIPI_A_avg_acq {#PercEff__FIPI_A_avg_acq .tabset}

SRM perceiver effect: agreeableness

Distribution

Distribution of values for PercEff__FIPI_A_avg_acq

Distribution of values for PercEff__FIPI_A_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FIPI_A_avg_acq SRM perceiver effect: agreeableness numeric 0 1 -2.2 -0.046 1.7 3.97e-05 0.8562851 ▁▅▇▆▃ F8.2 31

PercEff__FIPI_C_avg_acq {#PercEff__FIPI_C_avg_acq .tabset}

SRM perceiver effect: conscientiousness

Distribution

Distribution of values for PercEff__FIPI_C_avg_acq

Distribution of values for PercEff__FIPI_C_avg_acq

0 missing values.

Summary statistics

name label data_type n_missing complete_rate min median max mean sd hist format.spss display_width
PercEff__FIPI_C_avg_acq SRM perceiver effect: conscientiousness numeric 0 1 -2.2 -0.0029 1.6 4.34e-05 0.7016471 ▁▂▇▇▂ F8.2 29

Missingness report

Codebook table

JSON-LD metadata

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

{
  "name": "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"
    }
  ]
}`