jordan_2020_burnout

5,065 responses from 539 respondents to 10 items.

About this table

Description10-item burnout frequency scale (Copenhagen Burnout Inventory-style wording), first-year medical students, N=539
ReferenceJordan RK, Shah SS, Desai H, Tripi J, Mitchell A, Worth RG (2020). Variation of stress levels, burnout, and resilience throughout the academic year in first-year medical students. PLOS ONE, 15(10), e0240667. https://doi.org/10.1371/journal.pone.0240667
DOI10.1371/journal.pone.0240667
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0240667.s001

Size and shape

Responses5,065
Respondents539
Items10
Response categories5
Responses per respondent9.397
Responses per item506.500
Density0.940
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentCopenhagen Burnout Inventory (personal burnout items and four work-related burnout items, school/work adaptation)
Mean words per item9.400
Mean characters per item50.200
Mean characters per response8.800
Flesch-Kincaid grade level4.737

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("jordan_2020_burnout")
# Python
pip install irw

import irw
df = irw.fetch("jordan_2020_burnout")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0