jutte_2024_personality

4,125 responses from 825 respondents to 5 items.

About this table

DescriptionSingle-item Big Five domain ratings (5 items), wave 2 only, N=825
ReferenceJütte D, Hennig-Thurau T, Cziehso G, Sattler H (2024). When the antidote is the poison: Investigating the relationship between people's social media usage and loneliness when face-to-face communication is restricted. PLOS ONE, 19(2), e0296423. https://doi.org/10.1371/journal.pone.0296423
DOI10.1371/journal.pone.0296423
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0296423.s003

Size and shape

Responses4,125
Respondents825
Items5
Response categories7
Responses per respondent5
Responses per item825
Density1
LongitudinalFALSE

Classification

sampleInternet-based
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentSingle-item Big Five personality measure (after Rammstedt et al., 2013, BFI-10)
Mean words per item1
Mean characters per item2
Mean characters per response5.857
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_educationcov_femaleiditemresp

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("jutte_2024_personality")
# Python
pip install irw

import irw
df = irw.fetch("jutte_2024_personality")

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