38,808 responses from 504 respondents to 77 items.
| 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 |
cov_agecov_educationcov_genderiditemresp
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |