gan_2015_ucla_loneliness

568 responses from 71 respondents to 8 items.

About this table

DescriptionUCLA Loneliness Scale (short form), Chinese elderly nursing home residents
ReferenceGan, P., Xie, Y., Duan, W., Deng, Q., & Yu, X. (2015). Rumination and loneliness independently predict six-month later depression symptoms among Chinese elderly in nursing homes. PLoS ONE, 10(9), e0137176.
DOI10.1371/journal.pone.0137176
LicenceCC BY 4.0
Source datahttps://plos.figshare.com/articles/dataset/_Rumination_and_Loneliness_Independently_Predict_Six_Month_Later_Depression_Symptoms_among_Chinese_Elderly_in_Nursing_Homes_/1535084

Size and shape

Responses568
Respondents71
Items8
Response categories4
Responses per respondent8
Responses per item71
Density1
LongitudinalFALSE

Classification

age rangeElderly (minimum age >50)
sampleClinical
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Item text

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

InstrumentUCLA Loneliness Scale, 8-item short form (ULS-8; Hays & DiMatteo, 1987)
Mean words per item1
Mean characters per item2
Mean characters per response6.500
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_educationcov_gendercov_illness_countcov_marriageiditemresp

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("gan_2015_ucla_loneliness")
# Python
pip install irw

import irw
df = irw.fetch("gan_2015_ucla_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