prihandoko_2025_ews

1,571 responses from 121 respondents to 13 items.

About this table

DescriptionEmployee Well-Being Score (EWS; burnout, physical health, financial security, balance, care, psychological safety, engagement, retention), 13 items, 1-5, 121 professional employees in Greater Jakarta, Indonesia; cov_gender, cov_age_band.
ReferencePrihandoko, D., Rafsanjani, B., & Mathius, R. (2025). More Than Salary: The Reletionship Between a Healthy Work Culture (Well-Being) and Company Profitability [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18056003
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/18056003

Size and shape

Responses1,571
Respondents121
Items13
Response categories5
Responses per respondent12.983
Responses per item120.846
Density0.999
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
construct typeAffective/mental health, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ind
construct nameEmployee Well-Being Score (EWS)

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentEmployee Well-Being Score (EWS)
Mean words per item14.846
Mean characters per item88
Mean characters per response2
Flesch-Kincaid grade level9.503

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, prihandoko_2025_ews.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.

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_age_bandCovariate Usia Anda
cov_genderCovariate Jenis Kelamin

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("prihandoko_2025_ews")
# Python
pip install irw

import irw
df = irw.fetch("prihandoko_2025_ews")

How to cite

@misc{https://doi.org/10.5281/zenodo.18056003,
  doi = {10.5281/ZENODO.18056003},
  url = {https://zenodo.org/doi/10.5281/zenodo.18056003},
  author = {Prihandoko, Danang and Rafsanjani, Brian and Mathius, Ramos},
  keywords = {Company Profitability, Employee Well-Being, Perception Gap},
  title = {More Than Salary: The Reletionship Between a Healthy Work Culture (Well-Being) and Company Profitability},
  publisher = {Zenodo},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv607
Redivis datasetitem_response_warehouse_5 v10.0
Redivis dataset DOI10.57761/45xf-md22
Manifest pin for this IRW versionv9.0
Metadata sourceirw_meta v47.0