de_vries_2022_bat_secondary

4,340 responses from 434 respondents to 10 items.

About this table

Description10-item Burnout Assessment Tool (BAT) secondary symptoms scale, Dutch working adults
Referencede Vries A, et al. (2022) Self-, other-, and meta-perceptions of personality: Relations with burnout symptoms and eudaimonic workplace well-being. PLOS ONE
DOI10.1371/journal.pone.0272095
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0272095.s007&type=supplementary

Size and shape

Responses4,340
Respondents434
Items10
Response categories5
Responses per respondent10
Responses per item434
Density1
LongitudinalFALSE

Classification

measurement toolSurvey/questionnaire
item formatLikert 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.

InstrumentBurnout Assessment Tool (BAT), secondary symptoms scale (work-related version)
Mean words per item6.400
Mean characters per item35.100
Mean characters per response5
Flesch-Kincaid grade level3.790

Columns

iditemresp

Get the data

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

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_secondary")
# Python
pip install irw

import irw
df = irw.fetch("de_vries_2022_bat_secondary")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0