9,073 responses from 349 respondents to 26 items.
| Description | 26-item WHOQOL-BREF quality-of-life scale (5-category Likert), African medical and health science students |
|---|---|
| Reference | Galgam FA, Abdal et al. (2025). Assessing the quality of life among African medical and health science students using the WHOQOL-BREF. PeerJ. |
| DOI | 10.7717/peerj.18809 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC11809301 |
| Responses | 9,073 |
|---|---|
| Respondents | 349 |
| Items | 26 |
| Response categories | 5 |
| Responses per respondent | 25.997 |
| Responses per item | 348.962 |
| Density | 1.000 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, galgam_2025_whoqol_bref.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_age_group | Covariate | Age |
cov_faculty | Covariate | Your Faculty |
cov_gender | Covariate | Gender |
cov_marital_status | Covariate | Marital Status |
cov_nationality | Covariate | Nationality |
cov_year | Covariate | Year / Level |
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("galgam_2025_whoqol_bref")
# Python
pip install irw
import irw
df = irw.fetch("galgam_2025_whoqol_bref")
@article{Galgam_2025, title={Assessing the quality of life among African medical and health science students using the WHOQOL-BREF tool}, volume={13}, ISSN={2167-8359}, url={http://dx.doi.org/10.7717/peerj.18809}, DOI={10.7717/peerj.18809}, journal={PeerJ}, publisher={PeerJ}, author={Galgam, Fatima Alzahra and Abdalla, Adil and Shahin, Mahmoud and Yousif, Magda and Abdulrahman, Nahla and Alamoudi, Fatmah and Ahmad, Mehrunnisha and Yahia, Amira and Sidiq, Mohammad and Chahal, Aksh and Ahmad, Fuzail and Shaphe, Mohammad Abu and Nambi, Gopal and Rizvi, Moattar Raza and Kashoo, Faizan}, year={2025}, month=Feb, pages={e18809} }
| 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 |