blotner_2023_sd4_usa

12,587 responses from 451 respondents to 28 items.

One of 2 tables from the same source; this one is the usa table. The others are listed under Related tables.

About this table

DescriptionShort Dark Tetrad (SD4), English original, 28 items (1-5): Machiavellianism, narcissism, psychopathy and sadism, 451 U.S. respondents (the measurement-invariance paper's U.S. sample)
ReferenceBlötner, C., Webster, G. D., & Wongsomboon, V. (2023). Measurement invariance of the Short Dark Tetrad across cultures and genders. European Journal of Psychological Assessment, 39(5), 331-336.
DOI10.1027/1015-5759/a000715
LicenceCC BY 4.0
Source datahttps://osf.io/p8v3k/

Size and shape

Responses12,587
Respondents451
Items28
Response categories5
Responses per respondent27.909
Responses per item449.536
Density0.997
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, blotner_2023_sd4.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_genderCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("blotner_2023_sd4_usa")
# Python
pip install irw

import irw
df = irw.fetch("blotner_2023_sd4_usa")

How to cite

@article{Bl_tner_2023, title={Measurement Invariance of the Short Dark Tetrad Across Cultures and 					Genders}, volume={39}, ISSN={2151-2426}, url={http://dx.doi.org/10.1027/1015-5759/a000715}, DOI={10.1027/1015-5759/a000715}, number={5}, journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing Group}, author={Blötner, Christian and Webster, Gregory D. and Wongsomboon, Val}, year={2023}, month=Sept, pages={331–336} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse_6 v5.10
Redivis dataset DOI10.57761/8zbf-t397
Manifest pin for this IRW versionv5.10
Metadata sourceirw_meta v40.0