ge_2021_eri

21,232 responses from 1,327 respondents to 16 items.

One of 3 tables from the same source; this one is the eri table. The others are listed under Related tables.

About this table

DescriptionEffort-Reward Imbalance scale (ERI), 16 items on a 1-4 scale, Chinese healthcare workers. 21,232 responses from 1,327 respondents on 16 items.
ReferenceGe J, He J, Liu Y, Zhang J, Pan J, Zhang X, Liu D (2021). Effects of effort-reward imbalance, job satisfaction, and work engagement on self-rated health among healthcare workers. BMC Public Health, 21, 195. https://doi.org/10.1186/s12889-021-10233-w
DOI10.1186/s12889-021-10233-w
LicenceCC BY 4.0
Source datahttps://europepmc.org/article/PMC/PMC7821543

Size and shape

Responses21,232
Respondents1,327
Items16
Response categories4
Responses per respondent16
Responses per item1,327
Density1
LongitudinalFALSE

Classification

sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, ge_2021_healthcare_workers.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_ageCovariate made in the build script
cov_educationCovariate made in the build script
cov_genderCovariate made in the build script
cov_institution_gradeCovariate made in the build script
cov_marital_statusCovariate made in the build script
cov_night_shifts_per_monthCovariate made in the build script
cov_self_rated_healthCovariate made in the build script
cov_service_yearsCovariate made in the build script
cov_specialtyCovariate made in the build script
cov_technical_titleCovariate made in the build script
cov_weekly_hoursCovariate 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("ge_2021_eri")
# Python
pip install irw

import irw
df = irw.fetch("ge_2021_eri")

How to cite

@article{Ge_2021, title={Effects of effort-reward imbalance, job satisfaction, and work engagement on self-rated health among healthcare workers}, volume={21}, ISSN={1471-2458}, url={http://dx.doi.org/10.1186/s12889-021-10233-w}, DOI={10.1186/s12889-021-10233-w}, number={1}, journal={BMC Public Health}, publisher={Springer Science and Business Media LLC}, author={Ge, Jingjing and He, Jing and Liu, Yan and Zhang, Juying and Pan, Jingping and Zhang, Xueli and Liu, Danping}, year={2021}, month=Jan }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_6 v5.10
Redivis dataset DOI10.57761/8zbf-t397
Manifest pin for this IRW versionv5.10
Metadata sourceirw_meta v39.0