11,199 responses from 802 respondents to 14 items.
One of 3 tables from the same source; this one measures General well-being. The others are listed under Related tables.
| Description | Scales of General Well-Being short form (Longo et al.), Turkish adaptation: 14 items, 1-5. Turkish university students, two independent samples (EFA n=503, CFA n=301) stacked with cov_sample; ids prefixed by sample. N=804. |
|---|---|
| Reference | Atik S, Erdemir N (2025). Validity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence. BMC Psychology. https://doi.org/10.1186/s40359-025-03246-2 |
| DOI | 10.1186/s40359-025-03246-2 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/L3KAA2 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 11,199 |
|---|---|
| Respondents | 802 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 13.964 |
| Responses per item | 799.929 |
| Density | 0.997 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
| construct name | General well-being |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, atik_2025_life_satisfaction.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_sample | Covariate | made in the build script |
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("atik_2025_gwb")
# Python
pip install irw
import irw
df = irw.fetch("atik_2025_gwb")
@article{Ati_k_2025, title={Validity and reliability analysis of the Turkish life satisfaction scale developed through artificial intelligence}, volume={13}, ISSN={2050-7283}, url={http://dx.doi.org/10.1186/s40359-025-03246-2}, DOI={10.1186/s40359-025-03246-2}, number={1}, journal={BMC Psychology}, publisher={Springer Science and Business Media LLC}, author={Ati̇k, Servet and Erdemi̇r, Nuri}, year={2025}, month=Oct }
| 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 |