6,744 responses from 281 respondents to 24 items.
One of 3 tables from the same source; this one is the psycap table. The others are listed under Related tables.
| Description | Psychological Capital, 24 items, 1-6; Turkish employees. 281 respondents x 24 items = 6744 responses. |
|---|---|
| Reference | Koksal, K. (2023). Work-Related Depression and Life Satisfaction: Moderating Effect of Job Guarantee and Psychological Capital [Data set]. Mendeley Data. https://doi.org/10.17632/zhcyyxwpr6 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/zhcyyxwpr6 |
| Responses | 6,744 |
|---|---|
| Respondents | 281 |
| Items | 24 |
| Response categories | 6 |
| Responses per respondent | 24 |
| Responses per item | 281 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | tur |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, koksal_2023_psycap.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). | s.nu |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Yas |
cov_education | Covariate 1 = Ortaokul · 2 = Lise · 3 = Ön Lİsans · 4 = Lisans · 5 = Lisans Üstü | Egitim |
cov_employment | Covariate 1 = Kamu · 2 = Özel | Çalışma |
cov_sex | Covariate | Cinsiyet |
cov_tenure_years | Covariate | Yıl |
| Other columns | ||
itemcov_subscale | Not documented Covariates invariant to measurement probes (item-level attributes). | made in the build script |
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("koksal_2023_psycap")
# Python
pip install irw
import irw
df = irw.fetch("koksal_2023_psycap")
@misc{https://doi.org/10.17632/zhcyyxwpr6,
doi = {10.17632/ZHCYYXWPR6},
url = {https://data.mendeley.com/datasets/zhcyyxwpr6},
author = {{Kemal Köksal}},
title = {Work-Related Depression and Life Satis-faction: Moderating Effect of Job Guar-antee and Psychological Capital},
publisher = {Mendeley},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v549 |
|---|---|
| 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 v39.0 |