2,566 responses from 214 respondents to 12 items.
One of 2 tables from the same source; this one measures Mobile phone addiction. The others are listed under Related tables.
| Description | Mobile phone addiction, 12 items (q7_1-12); 12 items, 1-5; 214 college students (Chinese administration); covariates: cov_gender, cov_grade, cov_origin, cov_only_child, cov_club. |
|---|---|
| Reference | chen, c. (2025). The study on the relationship between mobile phone addiction and social anxiety in college students: The moderating effects of student club participation [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/WEY2CA |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/WEY2CA |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 2,566 |
|---|---|
| Respondents | 214 |
| Items | 12 |
| Response categories | 5 |
| Responses per respondent | 11.991 |
| Responses per item | 213.833 |
| Density | 0.999 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| construct type | Behavioral |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Mobile phone addiction |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, chen_2025_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). | Ordinal number |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_club | Covariate | Whether or not to join a student club? |
cov_gender | Covariate | Gender |
cov_grade | Covariate | Grade |
cov_only_child | Covariate | Whether one is an only child? |
cov_origin | Covariate | Origin |
What item codes and covariate values stand for is in the codebook released with the source data.
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_2025_phone_addiction")
# Python
pip install irw
import irw
df = irw.fetch("chen_2025_phone_addiction")
@misc{https://doi.org/10.7910/dvn/wey2ca,
doi = {10.7910/DVN/WEY2CA},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/WEY2CA},
author = {chen, cthomas},
keywords = {Social Sciences, mobile phone addiction, social anxiety},
title = {The study on the relationship between mobile phone addiction and social anxiety in college students：The moderating effects of student club participation},
publisher = {Harvard Dataverse},
year = {2025}
}
| IRW version | v595 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v45.0 |