18,676 responses from 853 respondents to 14 items.
One of 2 tables from the same source; this one measures Teacher burnout (14 items). The others are listed under Related tables.
| Description | Teacher burnout, 14 items (1-7) at two waves one year apart (wave 1 n = 853, wave 2 n = 481); cov_gender, cov_age, cov_years_practice, cov_job_position. |
|---|---|
| Reference | Hlaďo, P., Lintner, T., & Juhaňák, L. (2025). Bidirectional Relationship Between Perceived Work Ability and Burnout [data and R code]. Harvard Dataverse. https://doi.org/10.7910/DVN/8RGHK6 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/8RGHK6 |
| Responses | 18,676 |
|---|---|
| Respondents | 853 |
| Items | 14 |
| Response categories | 7 |
| Responses per respondent | 21.894 |
| Responses per item | 1,334 |
| Density | 1.564 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | cze |
| construct name | Teacher burnout (14 items) |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_gender | Covariate | not traced |
cov_job_position | Covariate | not traced |
cov_years_practice | Covariate | not traced |
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_2025b_burnout")
# Python
pip install irw
import irw
df = irw.fetch("hlado_2025b_burnout")
@misc{https://doi.org/10.7910/dvn/8rghk6,
doi = {10.7910/DVN/8RGHK6},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8RGHK6},
author = {Hlaďo, Petr and Lintner, Tomáš and Juhaňák, Libor and Harvánková, Klára},
keywords = {Social Sciences, work ability},
title = {Bidirectional Relationship Between Perceived Work Ability and Burnout},
publisher = {Harvard Dataverse},
year = {2025}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |