chen_2026_clubs_ucla_loneliness

1,701 responses from 243 respondents to 7 items.

One of 4 tables from the same source; this one measures UCLA Loneliness Scale (short form). The others are listed under Related tables.

About this table

DescriptionUCLA Loneliness Scale, 7-item short form (q7_1-7); 7 items, 1-4; 243 university students (Chinese administration); covariates: cov_gender, cov_grade, cov_residence, cov_major, cov_only_child.
Referencechen, c. (2026). The associations between loneliness and social anxiety: mediating role of smartphone addiction and moderating role of university clubs [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/Q9SNRD
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/Q9SNRD

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses1,701
Respondents243
Items7
Response categories4
Responses per respondent7
Responses per item243
Density1
LongitudinalFALSE

Classification

sampleEducational
construct typeAffective/mental health
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi
construct nameUCLA Loneliness Scale (short form)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_genderCovariate not traced
cov_gradeCovariate not traced
cov_majorCovariate not traced
cov_only_childCovariate not traced
cov_residenceCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("chen_2026_clubs_ucla_loneliness")
# Python
pip install irw

import irw
df = irw.fetch("chen_2026_clubs_ucla_loneliness")

How to cite

@misc{https://doi.org/10.7910/dvn/q9snrd,
  doi = {10.7910/DVN/Q9SNRD},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/Q9SNRD},
  author = {chen, cthomas},
  keywords = {Social Sciences, loneliness},
  title = {The associations between loneliness and social anxiety: mediating role of smartphone addiction and moderating role of university clubs},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0