daiku_2021_lying_frequency

3,050 responses from 305 respondents to 10 items.

About this table

DescriptionSelf-reported past-24h lying frequency by target (family/friend/business/clerk/stranger) x channel (direct/indirect), 10 items
ReferenceDaiku, Y., Serota, K. B., & Levine, T. R. (2021). A few prolific liars in Japan: Replication and the effects of Dark Triad personality traits. PLOS ONE. https://doi.org/10.1371/journal.pone.0249815
DOI10.1371/journal.pone.0249815
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0249815

Size and shape

Responses3,050
Respondents305
Items10
Response categories13
Responses per respondent10
Responses per item305
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatConstructed Response
primary language(s)jpn

Columns

cov_agecov_sexiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("daiku_2021_lying_frequency")
# Python
pip install irw

import irw
df = irw.fetch("daiku_2021_lying_frequency")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0