lu_2017_pss10

14,249 responses from 1,296 respondents to 10 items.

One of 3 tables from the same source; this one is the pss10 table. The others are listed under Related tables.

About this table

DescriptionPerceived Stress Scale-10 (10 items), Chinese university students, main test + retest wave
ReferenceLu W, Bian Q, Wang W, Wu X, Wang Z, Zhao M (2017). Chinese version of the Perceived Stress Scale-10: A psychometric study in Chinese university students. PLOS ONE, 12(12), e0189543. https://doi.org/10.1371/journal.pone.0189543
DOI10.1371/journal.pone.0189543
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0189543.s002

Size and shape

Responses14,249
Respondents1,296
Items10
Response categories5
Responses per respondent10.995
Responses per item1424.900
Density1.099
LongitudinalTRUE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lu_2017_pss10_battery.py. 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).No.
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_sexCovariate Sex

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("lu_2017_pss10")
# Python
pip install irw

import irw
df = irw.fetch("lu_2017_pss10")

How to cite

@article{Lu_2017, title={Chinese version of the Perceived Stress Scale-10: A psychometric study in Chinese university students}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0189543}, DOI={10.1371/journal.pone.0189543}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Lu, Wei and Bian, Qian and Wang, Wenzheng and Wu, Xiaoling and Wang, Zhen and Zhao, Min}, editor={Dang, Yong-hui}, year={2017}, month=Dec, pages={e0189543} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0