20,823 responses from 631 respondents to 33 items.
| Description | Burnout Assessment Tool (BAT) IRT validation among teachers |
|---|---|
| Reference | Kalani, Simindokht, 2026, "A new validation of Burnout Assessment Tool: An IRT Analysis Among Teachers", https://doi.org/10.7910/DVN/NFREES, Harvard Dataverse, V1 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/NFREES |
| Responses | 20,823 |
|---|---|
| Respondents | 631 |
| Items | 33 |
| Response categories | 5 |
| Responses per respondent | 33 |
| Responses per item | 631 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | per |
| construct name | Burnout Assessment Tool (BAT) |
cov_ageiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("burnout_assessment_tool_teachers")
# Python
pip install irw
import irw
df = irw.fetch("burnout_assessment_tool_teachers")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |