Item Response Warehouse / Tables / 2024_online_addiction_sabas2024_online_addiction_sabas
6,648 responses from 1,108 respondents to 6 items.
About this table
Description Smartphone Application-BasedAddiction Reference Jiaping Ma, Shu An, Qian Chen et al. Assessing Online-Related Addiction in Chinese Primary School Students: An Item Response Theory Analysis of Three Scales, 04 May 2026, PREPRINT (Version 1) available at Research Square DOI 10.21203/rs.3.rs-9429022/v1 Source data https://figshare.com/s/d3ffa43fd7e36eb2855d?file=49748748
Size and shape
Responses 6,648 Respondents 1,108 Items 6 Response categories 6 Responses per respondent 6 Responses per item 1,108 Density 1 Longitudinal TRUE
Classification
age range Child (<18y) child age (for child-focused studies) Child (6-12y) sample Educational construct type Affective/mental health, Behavioral measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi construct name Smartphone Application-BasedAddiction
Columns
cov_assess_date cov_birthdate cov_grade cov_race cov_sex cov_sick id item resp
Get the data
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("2024_online_addiction_sabas")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git
import irw
df = irw.fetch("2024_online_addiction_sabas")
Browse or download it directly on Redivis , or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
Version and provenance
IRW version v332 Redivis dataset item_response_warehouse_2 v13.0 Redivis dataset DOI 10.57761/q8hk-wa64 Manifest pin for this IRW version v12.0 Metadata source irw_meta v19.3
Part of the Item Response Warehouse , IRW v332. This page describes the table as released in item_response_warehouse_2 v13.0.