4,272 responses from 712 respondents to 6 items.
One of 3 tables from the same source; this one measures Perceived academic underachievement. The others are listed under Related tables.
| Description | Perceived Academic Underachievement Scale (PAUS, 6 items, 1-5), Bangla, 712 Bangladeshi adolescents and young adults. |
|---|---|
| Reference | Khatun, S., Ridoy, M. M. H., Noman, A. H., Sharon, M. M. H., Mia, M. R., Islam, J., Himel, S. H., & Shahrier, M. A. (2026). Bangla validation of the smartphone addiction scale and the academic underachievement scale: The associative role of classroom mindful attention in the relationship between smartphone addiction and underachievement among adolescents and young adults. PLOS One. https://doi.org/10.1371/journal.pone.0353865 |
| DOI | 10.1371/journal.pone.0353865 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.19685114 |
| Responses | 4,272 |
|---|---|
| Respondents | 712 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 6 |
| Responses per item | 712 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ben |
| construct name | Perceived academic underachievement |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, khatun_2026_smartphone_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_hours | Covariate | Time_spend_academic_tasks |
cov_achievement | Covariate 1 = High Achiever · 2 = Medium Achiever · 3 = Low Achiever | Academic_Achievement |
cov_age | Covariate | Age_of_student |
cov_data_mode | Covariate 1 = Online · 2 = Offline | Data_Mode |
cov_education | Covariate 1 = secondary (8-10) · 2 = higher secondary (11-12) · 3 = undergrad · 4 = MS | Education |
cov_faculty | Covariate 1 = Science · 2 = Non-science | Faculty |
cov_family_income | Covariate | Family_income_monthly |
cov_gender | Covariate 1 = female · 2 = male | Gender |
cov_gpa | Covariate | GPA_CGPA |
cov_marital | Covariate 1 = Married · 2 = Unmarried | Marital_status |
cov_mental_disorder_6m | Covariate 1 = Yes · 2 = No | Mental_disorder_last_6_months |
cov_permanent_residence | Covariate 1 = urban · 2 = rural | Permanent_resident |
cov_physical_problem | Covariate 1 = yes · 2 = no | Physical_problem |
cov_present_residence | Covariate 1 = hall · 2 = mess · 3 = house · 4 = others | Present_resident |
cov_sample | Covariate 1 = 12 to 18 · 2 = 19 to 24 | Age_limit |
cov_ses | Covariate 1 = lower class · 2 = lower-middle class · 3 = middle class · 4 = upper-middle class · 5 = upper class | Socio_economic_condition |
cov_sleep_hours | Covariate | Sleeping_hours |
cov_smoking | Covariate 1 = yes · 2 = no | Smoking |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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("khatun_2026_paus")
# Python
pip install irw
import irw
df = irw.fetch("khatun_2026_paus")
@article{Khatun_2026, title={Bangla validation of the smartphone addiction scale and the academic underachievement scale: The associative role of classroom mindful attention in the relationship between smartphone addiction and underachievement among adolescents and young adults}, volume={21}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0353865}, DOI={10.1371/journal.pone.0353865}, number={7}, journal={PLOS One}, publisher={Public Library of Science (PLoS)}, author={Khatun, Shakira and Ridoy, Md. Mehedi Hassan and Noman, Abu Hanif and Sharon, Md. Muazzem Hosen and Mia, Md. Rahim and Islam, Jahedul and Himel, Sajedul Hasan and Shahrier, Mohd. Ashik}, editor={Dzansi, Gladys}, year={2026}, month=July, pages={e0353865} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |