talaifar_2025_study1_tivi

11,710 responses from 1,172 respondents to 10 items.

About this table

DescriptionHuman values (Ten-Item Values Inventory)
ReferenceTalaifar, S., Jordan, D., Gosling, S. D., & Harari, G. M. (2025). Lifestyle polarization on a college campus: Do liberals and conservatives behave differently in everyday life?Journal of Personality and Social Psychology, 129(1), 152–180.
DOI10.1037/pspp0000546
LicencePermission via Email
Source datahttps://osf.io/rf9k8/files/osfstorage

Size and shape

Responses11,710
Respondents1,172
Items10
Response categories6
Responses per respondent9.991
Responses per item1,171
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameHuman values (Ten-Item Values Inventory)

Columns

cov_academic_classcov_agecov_current_employmentcov_ethnicitycov_father_educationcov_living_in_austincov_mother_educationcov_perceived_sescov_political_orientationcov_relationship_statuscov_religiositycov_semestercov_sexcov_socialmedia_bloggingcov_socialmedia_contentsharingcov_socialmedia_facebookcov_socialmedia_mediasharingcov_socialmedia_messagingcov_socialmedia_microbloggingcov_socialmedia_mmorpgscov_socialmedia_onlineforumscov_socialmedia_other_snsscov_socialmedia_userreviewscov_socialmedia_virtualworldscov_socialmedia_yikyakiditemresp

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("talaifar_2025_study1_tivi")
# Python
pip install irw

import irw
df = irw.fetch("talaifar_2025_study1_tivi")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_6 v2.1
Redivis dataset DOI10.57761/fr6e-wp05
Manifest pin for this IRW versionv2.1
Metadata sourceirw_meta v23.0