jeon_2019_cbi

8,816 responses from 464 respondents to 19 items.

One of 2 tables from the same source; this one is the cbi table. The others are listed under Related tables.

About this table

DescriptionCopenhagen Burnout Inventory - Korean version (CBI-K, 19 items across personal/work/client subscales), homecare workers, N=464
ReferenceJeon G-S, You S-J, Kim M-G, Kim Y-M, Cho S-I (2019). Psychometric properties of the Korean version of the Copenhagen Burnout Inventory in Korean homecare workers for older adults. PLOS ONE, 14(8), e0221323. https://doi.org/10.1371/journal.pone.0221323
DOI10.1371/journal.pone.0221323
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0221323.s002

Size and shape

Responses8,816
Respondents464
Items19
Response categories5
Responses per respondent19
Responses per item464
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)kor

Item text

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

InstrumentKorean version of the Copenhagen Burnout Inventory (CBI-K)
Mean words per item11.211
Mean characters per item60.526
Mean characters per response19.200
Flesch-Kincaid grade level5.125

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, jeon_2019_cbi_cesd.py. 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).ID
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_educationCovariate education
cov_marital_statusCovariate marital
cov_work_hoursCovariate wk_hr

What item codes and covariate values stand for is in the source’s questionnaire, S1_Fig.gif, which shows the item wording.

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("jeon_2019_cbi")
# Python
pip install irw

import irw
df = irw.fetch("jeon_2019_cbi")

How to cite

@article{Jeon_2019, title={Psychometric properties of the Korean version of the Copenhagen Burnout Inventory in Korean homecare workers for older adults}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0221323}, DOI={10.1371/journal.pone.0221323}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Jeon, Gyeong-Suk and You, Sun-Ju and Kim, Myo-Gyeong and Kim, Yoo-Mi and Cho, Sung-Il}, editor={Tan, Maw Pin}, year={2019}, month=Aug, pages={e0221323} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0