5,508 responses from 612 respondents to 9 items.
One of 9 tables from the same source; this one is the uwes table. The others are listed under Related tables.
| Description | Utrecht Work Engagement Scale-9 (UWES-9), Study 2 sample N=612 |
|---|---|
| Reference | Algner & Lorenz (2022). You're Prettier When You Smile: Construction and Validation of a Questionnaire to Assess Microaggressions Against Women in the Workplace. Frontiers in Psychology, 13. |
| DOI | 10.3389/fpsyg.2022.809862 |
| Licence | CC BY 4.0 |
| Source data | https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2022.809862/full |
| Responses | 5,508 |
|---|---|
| Respondents | 612 |
| Items | 9 |
| Response categories | 7 |
| Responses per respondent | 9 |
| Responses per item | 612 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Utrecht Work Engagement Scale-9, German version (UWES-9; Schaufeli & Bakker, 2003; Sautier et al., 2015) |
|---|---|
| Mean words per item | 6.889 |
| Mean characters per item | 40.778 |
| Mean characters per response | 7.429 |
| Flesch-Kincaid grade level | 4.987 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, algner2022_mimi.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). | lfdn |
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_dur_worklife | Covariate | durWorklife |
cov_duration | Covariate | duration |
cov_education | Covariate | education |
cov_equality | Covariate | equality |
cov_feminism | Covariate | feminism |
cov_gender | Covariate | gender |
cov_kldb | Covariate | kldb |
cov_occupational_status | Covariate | occupational status |
cov_size_residence | Covariate | size_residence |
cov_size_workplace | Covariate | size_workplace |
cov_weekly_hours | Covariate | weeklyHours |
cov_workenvironment | Covariate | workenvironment |
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("algner2022_uwes")
# Python
pip install irw
import irw
df = irw.fetch("algner2022_uwes")
@article{Algner_2022, title={You’re Prettier When You Smile: Construction and Validation of a Questionnaire to Assess Microaggressions Against Women in the Workplace}, volume={13}, ISSN={1664-1078}, url={http://dx.doi.org/10.3389/fpsyg.2022.809862}, DOI={10.3389/fpsyg.2022.809862}, journal={Frontiers in Psychology}, publisher={Frontiers Media SA}, author={Algner, Mona and Lorenz, Timo}, year={2022}, month=Mar }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v40.0 |