jutte_2024_loneliness

4,950 responses from 825 respondents to 3 items.

About this table

Description3-item short Loneliness Scale, 2-wave COVID-era panel, 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

Responses4,950
Respondents825
Items3
Response categories7
Responses per respondent6
Responses per item1,650
Density2
LongitudinalTRUE

Classification

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.

InstrumentThree items from the revised UCLA Loneliness Scale
Mean words per item1
Mean characters per item2
Mean characters per response4.286
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_educationcov_femaleiditemrespwave

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_loneliness")
# Python
pip install irw

import irw
df = irw.fetch("jutte_2024_loneliness")

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