li_2026_sas_sv

18,420 responses from 1,842 respondents to 10 items.

About this table

DescriptionSmartphone Addiction Scale, Short Version (10 items, 1-6) from 1,842 Chinese college students.
ReferenceLi X, Mao Y (2026). Network analysis of smartphone addiction and sleep disorder symptoms in Chinese college students. PLOS ONE 21(5): e0349016.
DOI10.1371/journal.pone.0349016
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0349016

Size and shape

Responses18,420
Respondents1,842
Items10
Response categories6
Responses per respondent10
Responses per item1,842
Density1
LongitudinalFALSE

Classification

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

Columns

iditemresp

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("li_2026_sas_sv")
# Python
pip install irw

import irw
df = irw.fetch("li_2026_sas_sv")

How to cite

@article{Li_2026, title={Network analysis of smartphone addiction and sleep disorder symptoms in Chinese college students}, volume={21}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0349016}, DOI={10.1371/journal.pone.0349016}, number={5}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Li, Xiaonan and Mao, Lin}, editor={Randjelovic, Pavle}, year={2026}, month=May, pages={e0349016} }

Version and provenance

IRW versionv407
Redivis datasetitem_response_warehouse_6 v3.2
Redivis dataset DOI10.57761/yvkw-nj32
Manifest pin for this IRW versionv3.2
Metadata sourceirw_meta v24.0