8,816 responses from 464 respondents to 19 items.
| Description | Copenhagen Burnout Inventory - Korean version (CBI-K, 19 items across personal/work/client subscales), homecare workers, N=464 |
|---|---|
| Reference | Jeon 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 |
| DOI | 10.1371/journal.pone.0221323 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0221323.s002 |
| Responses | 8,816 |
|---|---|
| Respondents | 464 |
| Items | 19 |
| Response categories | 5 |
| Responses per respondent | 19 |
| Responses per item | 464 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | kor |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Korean version of the Copenhagen Burnout Inventory (CBI-K) |
|---|---|
| Mean words per item | 11.211 |
| Mean characters per item | 60.526 |
| Mean characters per response | 19.200 |
| Flesch-Kincaid grade level | 5.125 |
cov_agecov_educationcov_marital_statuscov_work_hoursiditemresp
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |