1,712 responses from 428 respondents to 4 items.
One of 5 tables from the same source; this one is the gdt table. The others are listed under Related tables.
| 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 |
| Responses | 1,712 |
|---|---|
| Respondents | 428 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 428 |
| Density | 1 |
| Longitudinal | FALSE |
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, islam_2022_online_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). | 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_academic_grades | Covariate | Academic grades |
cov_age | Covariate | Age |
cov_family_type | Covariate | Family type |
cov_hours_internet_use | Covariate | Hours of internet use |
cov_hours_playing_game | Covariate | Hours of playing game |
cov_living_status | Covariate | Living status |
cov_marital_status | Covariate | Marital status |
cov_monthly_income | Covariate | Monthly income |
cov_sex | Covariate | Sex |
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("islam_2022_gdt")
# Python
pip install irw
import irw
df = irw.fetch("islam_2022_gdt")
@article{Islam_2022, title={Psychometric properties of three online-related addictive behavior instruments among Bangladeshi school-going adolescents}, volume={17}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0279062}, DOI={10.1371/journal.pone.0279062}, number={12}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Islam, Md. Saiful and Jahan, Israt and Dewan, Muhammad Al Amin and Pontes, Halley M. and Koly, Kamrun Nahar and Sikder, Md. Tajuddin and Rahman, Mahmudur}, editor={Nakamura, Keiko}, year={2022}, month=Dec, pages={e0279062} }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v40.0 |