11,775 responses from 785 respondents to 15 items.
| Description | Problematic Social Media Use Scale (Chinese version), 15 items, 1 (strongly disagree) to 8 (strongly agree). 785 Chinese college students aged 18-35. |
|---|---|
| Reference | Li M, Liu T, Wang X, Wang Y, Hao Y, Chen S, Potenza MN, Moretta T (2026). Reliability, factor structure, and criterion validity: testing the problematic social media use scale in Chinese college students. PeerJ, 14, e21138. https://doi.org/10.7717/peerj.21138 |
| DOI | 10.7717/peerj.21138 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC13175062 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 11,775 |
|---|---|
| Respondents | 785 |
| Items | 15 |
| Response categories | 8 |
| Responses per respondent | 15 |
| Responses per item | 785 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Problematic Social Media Use Scale (PSMUS) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 13.250 |
| Flesch-Kincaid grade level | -3.400 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, li_2026_psmus.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_age | Covariate | age |
cov_gender | Covariate | gender |
What item codes and covariate values stand for is in the source’s codebook, supp-4.
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("li_2026_psmus")
# Python
pip install irw
import irw
df = irw.fetch("li_2026_psmus")
@article{Li_2026, title={Reliability, factor structure, and criterion validity: testing the problematic social media use scale in Chinese college students}, volume={14}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.21138}, DOI={10.7717/peerj.21138}, journal={PeerJ}, publisher={PeerJ}, author={Li, Manyun and Liu, Tieqiao and Wang, Xuyi and Wang, Yunfei and Hao, Yuzhu and Chen, Shubao and Potenza, Marc N. and Moretta, Tania}, year={2026}, month=May, pages={e21138} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |