hlado_2025b_twas

28,014 responses from 853 respondents to 21 items.

One of 2 tables from the same source; this one measures Perceived work ability (TWAS, 21 items). The others are listed under Related tables.

About this table

DescriptionTeacher Work Ability Scale (TWAS), 21 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.
ReferenceHlaďo, 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
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/8RGHK6

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses28,014
Respondents853
Items21
Response categories7
Responses per respondent32.842
Responses per item1,334
Density1.564
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleWorkplace
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)cze
construct namePerceived work ability (TWAS, 21 items)

Codebook

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.

ColumnWhat it isSource column
IRW standard columns
idIRW 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
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
waveIRW standard Longitudinal wave indicator.not traced
Respondent covariates
cov_ageCovariate not traced
cov_genderCovariate not traced
cov_job_positionCovariate not traced
cov_years_practiceCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_twas")
# Python
pip install irw

import irw
df = irw.fetch("hlado_2025b_twas")

How to cite

@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}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0