8,536 responses from 388 respondents to 22 items.
| Description | Maslach Burnout Inventory (22 items), Indonesian resident physicians, N=388 |
|---|---|
| Reference | Menaldi SL, Raharjanti NW, Wahid M, Ramadianto AS, Nugrahadi NR, Adhiguna GMYP, Kusumoningrum DA (2023). Burnout and coping strategies among resident physicians at an Indonesian tertiary referral hospital during COVID-19 pandemic. PLOS ONE, 18(1), e0280313. https://doi.org/10.1371/journal.pone.0280313 |
| DOI | 10.1371/journal.pone.0280313 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0280313.s001 |
| Responses | 8,536 |
|---|---|
| Respondents | 388 |
| Items | 22 |
| Response categories | 7 |
| Responses per respondent | 22 |
| Responses per item | 388 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ind |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("menaldi_2023_mbi")
# Python
pip install irw
import irw
df = irw.fetch("menaldi_2023_mbi")
| 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 |