deception_game

15,264 responses from 635 respondents to 24 items.

One of 2 tables from the same source; this one measures Feelings of Deception After Economic Game Participation. The others are listed under Related tables.

About this table

DescriptionData on feelings of deception after playing an online game
ReferenceKrasnow, M.M., Howard, R.M. & Eisenbruch, A.B. The importance of being honest? Evidence that deception may not pollute social science subject pools after all. Behav Res 52, 1175–1188 (2020). https://doi.org/10.3758/s13428-019-01309-y
DOI10.3758/s13428-019-01309-y
LicenceCC BY 4.0
Source datahttps://osf.io/f3kzr/

Size and shape

Responses15,264
Respondents635
Items24
Response categories79
Responses per respondent24.038
Responses per item636
Density1.002
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleGeneral/non-specific
construct typeAffective/mental health, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameFeelings of Deception After Economic Game Participation

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, deception_game.R. 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).participantid
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Other columns
ageNot documented Not documented by the IRW; see the source’s codebook.made in the build script

What item codes and covariate values stand for is in the source’s codebook, DeceptionBan_Codebook.csv.

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("deception_game")
# Python
pip install irw

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

How to cite

@article{Krasnow_2019, title={The importance of being honest? Evidence that deception may not pollute social science subject pools after all}, volume={52}, ISSN={1554-3528}, url={http://dx.doi.org/10.3758/s13428-019-01309-y}, DOI={10.3758/s13428-019-01309-y}, number={3}, journal={Behavior Research Methods}, publisher={Springer Science and Business Media LLC}, author={Krasnow, Max M. and Howard, Rhea M. and Eisenbruch, Adar B.}, year={2019}, month=oct, pages={1175–1188} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v40.0