38,808 responses from 504 respondents to 77 items.
One of 3 tables from the same source; this one measures Work Design Questionnaire. The others are listed under Related tables.
| Description | HPWT (Happy-Productive Worker Thesis), contains employees' self-reported responses to 18 work design characteristics (e.g., autonomy, feedback, social support) based on the Work Design Questionnaire. |
|---|---|
| Reference | Bayona, J. A., Durán, W. F., Perdomo-Ortiz, J., Castañeda, D. I., Valencia, C. A., Fatien Diochon, P., & Alvarado, D. F. (2025). Happy-Productive worker thesis: The role of work characteristics, gender, and age. PloS one, 20(3), e0316656. |
| DOI | 10.1371/journal.pone.0316656 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/S1_Dataset_sav/25833070?file=46358782 |
| Responses | 38,808 |
|---|---|
| Respondents | 504 |
| Items | 77 |
| Response categories | 5 |
| Responses per respondent | 77 |
| Responses per item | 504 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, General/non-specific |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
| construct name | Work Design Questionnaire |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hpwt_bayona_2025.R. 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 | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_gender | 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("hpwt_bayona_2025_workcharacteristics")
# Python
pip install irw
import irw
df = irw.fetch("hpwt_bayona_2025_workcharacteristics")
@article{Bayona_2025, title={Happy-Productive worker thesis: The role of work characteristics, gender, and age}, volume={20}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0316656}, DOI={10.1371/journal.pone.0316656}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Bayona, Jaime A. and Durán, William F. and Perdomo-Ortiz, Jesús and Castañeda, Delio I. and Valencia, Carlos A. and Fatien Diochon, Pauline and Alvarado, Diego F.}, editor={Mahmoud, Ali B.}, year={2025}, month=mar, pages={e0316656} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |