singh_2025_identity_pit

5,880 responses from 1,470 respondents to 4 items.

About this table

DescriptionEvaluates perceptions of honesty, trustworthiness, and kindness of members from other ethnic or racial groups
ReferenceSingh KK, Elliot AJ, Handley ED, Jamieson JP (2025) Identity as a resource or a demand. PLoS ONE 20(1): e0318449. https://doi.org/10.1371/journal.pone.0318449
DOI10.1371/journal.pone.0318449
LicenceCC BY 4.0
Source datahttps://researchbox.org/2404&PEER_REVIEW_passcode=BHMTZT

Size and shape

Responses5,880
Respondents1,470
Items4
Response categories5
Responses per respondent4
Responses per item1,470
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleRepresentative, Targeted/specific
construct typeAffective/mental health, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameHonesty

Item text

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

InstrumentEvaluates perceptions of honesty, trustworthiness, and kindness of members from other ethnic or racial groups
Mean words per item9.800
Mean characters per item65.200
Mean characters per response10
Flesch-Kincaid grade level7.415

Columns

cov_agecov_educationcov_gendercov_identitycov_incomecov_studyiditemresp

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("singh_2025_identity_pit")
# Python
pip install irw

import irw
df = irw.fetch("singh_2025_identity_pit")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0