Item Response Warehouse / Tables / de_vries_2022_bat_burnout_corede_vries_2022_bat_burnout_core
9,982 responses from 434 respondents to 23 items.
About this table
Description 23-item Burnout Assessment Tool (BAT) core symptoms scale, Dutch working adults Reference de Vries A, et al. (2022) Self-, other-, and meta-perceptions of personality: Relations with burnout symptoms and eudaimonic workplace well-being. PLOS ONE DOI 10.1371/journal.pone.0272095 Licence CC BY 4.0 Source data https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272095.s007&type=supplementary
Size and shape
Responses 9,982 Respondents 434 Items 23 Response categories 5 Responses per respondent 23 Responses per item 434 Density 1 Longitudinal FALSE
Classification
measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) dut
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Burnout Assessment Tool (BAT) – core symptoms, work-related version Mean words per item 10.043 Mean characters per item 49.870 Mean characters per response 5 Flesch-Kincaid grade level 5.388
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("de_vries_2022_bat_burnout_core")
# Python
pip install irw
import irw
df = irw.fetch("de_vries_2022_bat_burnout_core")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_4 v7.0 Redivis dataset DOI 10.57761/cpj5-vm97 Manifest pin for this IRW version v7.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_4 v7.0.