Item Response Warehouse / Tables / islam_2022_gdtislam_2022_gdt
1,712 responses from 428 respondents to 4 items.
About this table
Description 4-item Gaming Disorder Test (GDT), Bangladeshi school-going adolescents, N=428 Reference Islam MS, Jahan I, Dewan MAA, et al. (2022) Psychometric properties of three online-related addictive behavior instruments among Bangladeshi school-going adolescents. PLOS ONE. DOI 10.1371/journal.pone.0279062 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0279062
Size and shape
Responses 1,712 Respondents 428 Items 4 Response categories 5 Responses per respondent 4 Responses per item 428 Density 1 Longitudinal FALSE
Classification
age range Mixed child age (for child-focused studies) Child (6-12y), Adolescent (12-18y) sample Educational measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) ben
Columns
cov_academic_grades cov_age cov_family_type cov_hours_internet_use cov_hours_playing_game cov_living_status cov_marital_status cov_monthly_income cov_sex id item resp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("islam_2022_gdt")
# Python
pip install irw
import irw
df = irw.fetch("islam_2022_gdt")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.