13,270 responses from 1,327 respondents to 10 items.
One of 3 tables from the same source; this one is the job_satisfaction table. The others are listed under Related tables.
| Description | Job satisfaction scale (10 items, one per aspect: abilities, personal satisfaction, colleagues, superiors, advancement, management, training, compensation, facility, welfare) on a 1-6 scale, Chinese healthcare workers. 13,270 responses from 1,327 respondents on 10 items. |
|---|---|
| Reference | Ge 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 |
| DOI | 10.1186/s12889-021-10233-w |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC7821543 |
| Responses | 13,270 |
|---|---|
| Respondents | 1,327 |
| Items | 10 |
| Response categories | 6 |
| Responses per respondent | 10 |
| Responses per item | 1,327 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
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.
| 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 |
cov_institution_grade | Covariate | made in the build script |
cov_marital_status | Covariate | made in the build script |
cov_night_shifts_per_month | Covariate | made in the build script |
cov_self_rated_health | Covariate | made in the build script |
cov_service_years | Covariate | made in the build script |
cov_specialty | Covariate | made in the build script |
cov_technical_title | Covariate | made in the build script |
cov_weekly_hours | 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:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ge_2021_job_satisfaction")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("ge_2021_job_satisfaction")
@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 }
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.9 |
| Redivis dataset DOI | 10.57761/vzgw-d311 |
| Manifest pin for this IRW version | v5.8 |
| Metadata source | irw_meta v37.0 |