About this table

Description	20-item mobile phone addiction scale, 1-5, Chinese college students. 195 respondents x 20 items = 3900 responses.
Reference	Chen, C. (2026). A linkage of college students' mobile phone addiction and social anxiety: The mediating role of self-control [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/QS5D8C
Licence	CC0 1.0
Source data	https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/QS5D8C

Size and shape

Responses	3,900
Respondents	195
Items	20
Response categories	5
Responses per respondent	20
Responses per item	195
Density	1
Longitudinal	FALSE

Classification

sample	Educational
measurement tool	Survey/questionnaire
item format	Likert 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, chen_2026_mobile_phone_addiction.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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	made in the build script
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_gender`	Covariate	`1.Gender`
`cov_grade`	Covariate	`2.Grade`
`cov_household_registration`	Covariate	`5.Household registration type`
`cov_major`	Covariate	`3.Major`
`cov_only_child`	Covariate	`4.Only-child`

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

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant 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_mobile_phone_addiction")

# Python
pip install irw

import irw
df = irw.fetch("chen_2026_mobile_phone_addiction")

How to cite

@misc{https://doi.org/10.7910/dvn/qs5d8c,
  doi = {10.7910/DVN/QS5D8C},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/QS5D8C},
  author = {chen, cthomas},
  keywords = {Arts and Humanities, Social Sciences},
  title = {A linkage of college students' mobile phone addiction and social anxiety: The mediating role of self-control},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance

IRW version	v549
Redivis dataset	item_response_warehouse_4 v13.0
Redivis dataset DOI	10.57761/w8zx-td92
Manifest pin for this IRW version	v13.0
Metadata source	irw_meta v39.0

chen_2026_mobile_phone_addiction