Item Response Warehouse / Tables / ma2026_bsmasma2026_bsmas
6,648 responses from 1,108 respondents to 6 items.
About this table
Description BSMAS (Bergen Social Media Addiction Scale), 1-5 Likert; N=1108, 6 items, Chinese primary school students Reference Ma, J., An, S., Chen, Q., & Liu, S. (2026). Assessing Online-Related Addiction in Chinese Primary School Students: An Item Response Theory Analysis of Three Scales. Research Square (preprint). DOI 10.21203/rs.3.rs-9429022/v1 Licence CC BY 4.0 Source data https://figshare.com/articles/dataset/Assessing_Online-Related_Addiction_in_Chinese_Primary_School_Students_An_Item_Response_Theory_Analysis_of_Three_Scales/27211839
Size and shape
Responses 6,648 Respondents 1,108 Items 6 Response categories 5 Responses per respondent 6 Responses per item 1,108 Density 1 Longitudinal TRUE
Classification
sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) chi
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Bergen Social Media Addiction Scale (BSMAS) Mean words per item 1 Mean characters per item 2 Mean characters per response 8.200 Flesch-Kincaid grade level -3.400
Columns
cov_assess_date 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("ma2026_bsmas")
# Python
pip install irw
import irw
df = irw.fetch("ma2026_bsmas")
Download as CSV (no account needed), browse it on Redivis , or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
Version and provenance
IRW version v385 Redivis dataset item_response_warehouse_3 v7.0 Redivis dataset DOI 10.57761/pqqn-pm43 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v385. This page describes the table as released in item_response_warehouse_3 v7.0.