About this table

Description	DSM-5 Internet Gaming Disorder indicator checklist (preoccupation, withdrawal, tolerance, loss of control, continuing despite problems, deceiving, escape, giving up other activities, jeopardising relationships/opportunities; plus distress in Study 2), 0 = not endorsed, 1 = endorsed. Google Surveys respondents who play games: Study 1 UK adults 18+ (n=1,617), Study 2 18-24 year-olds in the US, UK, Canada and Germany (n=7,041); cov_study, cov_country. Includes cov_mischievous (endorsed a fictitious game). N=8,658.
Reference	Przybylski AK (2016). Mischievous responding in Internet Gaming Disorder research. PeerJ, 4, e2401. https://doi.org/10.7717/peerj.2401
DOI	10.7717/peerj.2401
Licence	CC BY 4.0
Source data	https://doi.org/10.7717/peerj.2401

Notes

The deposit's US cohort in Study 2 contained 1,258 Canadian respondents duplicated from the Canadian cohort; each was kept once under Canada, so N and cohort sizes differ from the paper (which analysed 10,009 rows). Respondents who do not play games never saw the checklist and are excluded, and the distress item exists only in Study 2.

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	84,963
Respondents	8,658
Items	10
Response categories	2
Responses per respondent	9.813
Responses per item	8496.300
Density	0.981
Longitudinal	FALSE

Classification

sample	Internet-based
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng, ger

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, przybylski_2016_igd.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_band`	Covariate	made in the build script
`cov_country`	Covariate	made in the build script
`cov_gender`	Covariate	made in the build script
`cov_income`	Covariate	made in the build script
`cov_mischievous`	Covariate	made in the build script
`cov_publisher_category`	Covariate	made in the build script
`cov_region`	Covariate	made in the build script
`cov_study`	Covariate	made in the build script
`cov_urban_density`	Covariate	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 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("przybylski_2016_igd")

# Python
pip install irw

import irw
df = irw.fetch("przybylski_2016_igd")

How to cite

@article{Przybylski_2016, title={Mischievous responding in Internet Gaming Disorder research}, volume={4}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.2401}, DOI={10.7717/peerj.2401}, journal={PeerJ}, publisher={PeerJ}, author={Przybylski, Andrew K.}, year={2016}, month=Sept, pages={e2401} }

Version and provenance

IRW version	v607
Redivis dataset	item_response_warehouse_6 v5.11
Redivis dataset DOI	10.57761/qahq-j855
Manifest pin for this IRW version	v5.11
Metadata source	irw_meta v47.0