3,426 responses from 613 respondents to 3 items.
One of 8 tables from the same source; this one measures Turnover intention. The others are listed under Related tables.
| Description | Turnover intention, 3 items, 1-6, two waves; 613 Czech primary and lower-secondary teachers; cov_gender, cov_age, cov_years_practice, cov_job_position, cov_class_teacher, cov_mentor_teacher, cov_caring. |
|---|---|
| Reference | Dataset for the Study "What predicts changes in perceived teacher work ability?" (2025). Harvard Dataverse. https://doi.org/10.7910/DVN/WABYKR (authors anonymised on the record; contact Petr Hlado, Masaryk University). |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/WABYKR |
| Responses | 3,426 |
|---|---|
| Respondents | 613 |
| Items | 3 |
| Response categories | 6 |
| Responses per respondent | 5.589 |
| Responses per item | 1,142 |
| Density | 1.863 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | cze |
| construct name | Turnover intention |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hlado_2025_teacher_work_ability.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 |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_caring | Covariate | made in the build script |
cov_class_teacher | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_job_position | Covariate | made in the build script |
cov_mentor_teacher | Covariate | made in the build script |
cov_years_practice | 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 (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("hlado_2025_turnover")
# Python
pip install irw
import irw
df = irw.fetch("hlado_2025_turnover")
@misc{https://doi.org/10.7910/dvn/wabykr,
doi = {10.7910/DVN/WABYKR},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/WABYKR},
author = {A, A},
keywords = {Social Sciences},
title = {Dataset for the Study "Understanding Change in Teachers’ Perceived Work Ability: A Longitudinal Study Using Random Forests and Change-Score Modeling"},
publisher = {Harvard Dataverse},
year = {2025}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |