hpwt_bayona_2025_jobsatisfaction

2,520 responses from 504 respondents to 5 items.

One of 3 tables from the same source; this one measures Job satisfaction. The others are listed under Related tables.

About this table

DescriptionHPWT (Happy-Productive Worker Thesis), includes employees’ responses to a 5-item job satisfaction scale which captures their hedonic well-being at work.
ReferenceBayona, 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.
DOI10.1371/journal.pone.0316656
LicenceCC BY 4.0
Source datahttps://figshare.com/articles/dataset/S1_Dataset_sav/25833070?file=46358782

Size and shape

Responses2,520
Respondents504
Items5
Response categories5
Responses per respondent5
Responses per item504
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, General/non-specific
construct typeAffective/mental health, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)spa
construct nameJob satisfaction

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_educationCovariate made in the build script
cov_genderCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_jobsatisfaction")
# Python
pip install irw

import irw
df = irw.fetch("hpwt_bayona_2025_jobsatisfaction")

How to cite

@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} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0