1,003 responses from 337 respondents to 3 items.
One of 12 tables from the same source; this one measures Work engagement (UWES-3). The others are listed under Related tables.
| Description | Work engagement, UWES-3 (3 items, 1-7) for 339 Dutch childcare workers (online survey, autumn 2020; cluster_id = childcare facility). |
|---|---|
| Reference | Bauwens, R., Denissen, M., Van Beurden, J., & Coun, M. (2021). Can Leaders Prevent Technology From Backfiring? Empowering Leadership as a Double-Edged Sword for Technostress in Care. Frontiers in Psychology, 12, 702648. https://doi.org/10.3389/fpsyg.2021.702648 |
| DOI | 10.3389/fpsyg.2021.702648 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/7153436 |
| Responses | 1,003 |
|---|---|
| Respondents | 337 |
| Items | 3 |
| Response categories | 7 |
| Responses per respondent | 2.976 |
| Responses per item | 334.333 |
| Density | 0.992 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | General/non-specific, Workplace |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Work engagement (UWES-3) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, bauwens_2022_childcare.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 | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | made in the build script |
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 | age |
cov_children | Covariate | children |
cov_education | Covariate | education |
cov_fulltime | Covariate | fulltime |
cov_gender | Covariate | gender |
cov_n_children | Covariate | children_nof |
cov_parent_app | Covariate | parent_environment |
cov_temporary | Covariate | temporary |
cov_tenure | Covariate | tenure |
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 (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("bauwens_2022_engagement")
# Python
pip install irw
import irw
df = irw.fetch("bauwens_2022_engagement")
@article{Bauwens_2021, title={Can Leaders Prevent Technology From Backfiring? Empowering Leadership as a Double-Edged Sword for Technostress in Care}, volume={12}, ISSN={1664-1078}, url={http://dx.doi.org/10.3389/fpsyg.2021.702648}, DOI={10.3389/fpsyg.2021.702648}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Bauwens, Robin and Denissen, Marith and Van Beurden, Jeske and Coun, Martine}, year={2021}, month=June }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |