About this table

Description	Difficulties in Emotion Regulation Scale, 16-item (DERS-16), 1-5; N = 245 US undergraduates; cov_age, cov_sex, cov_gender, cov_ethnicity, cov_relationship_status, cov_location.
Reference	Hitlan, R. (2025). Replication Data for: Dark Triad 2025 (V1). Harvard Dataverse. https://doi.org/10.7910/DVN/E9WMPW
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/E9WMPW

Notes

The record instructs "select cas_08=0": 17 respondents flagged for failed attention checks and one with the flag missing are dropped from all three hitlan_2025 tables.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses	3,919
Respondents	245
Items	16
Response categories	5
Responses per respondent	15.996
Responses per item	244.938
Density	1.000
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Educational
construct type	Affective/mental health
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Difficulties in emotion regulation (DERS-16)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

Instrument	Difficulties in Emotion Regulation Scale, 16-item (DERS-16)
Mean words per item	1
Mean characters per item	2
Mean characters per response	13.800
Flesch-Kincaid grade level	-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hitlan_2025_dark_triad_celebrity.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW 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
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`age`
`cov_ethnicity`	Covariate	`ethnicity`
`cov_gender`	Covariate	`gender`
`cov_location`	Covariate	`location`
`cov_relationship_status`	Covariate	`relatstatus`
`cov_sex`	Covariate	`sex_`

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

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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("hitlan_2025_ders16")

# Python
pip install irw

import irw
df = irw.fetch("hitlan_2025_ders16")

How to cite

@misc{https://doi.org/10.7910/dvn/e9wmpw,
  doi = {10.7910/DVN/E9WMPW},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/E9WMPW},
  author = {Hitlan, Robert},
  keywords = {Social Sciences},
  title = {Replication Data for: Dark Triad 2025},
  publisher = {Harvard Dataverse},
  year = {2025}
}

Version and provenance

IRW version	v584
Redivis dataset	item_response_warehouse_5 v8.5
Redivis dataset DOI	10.57761/41xy-5k56
Manifest pin for this IRW version	v8.5
Metadata source	irw_meta v44.0

hitlan_2025_ders16