6,666 responses from 303 respondents to 22 items.
| Description | Maslach Burnout Inventory, 22 items on the instrument's 0-6 frequency scale, Peruvian healthcare professionals. 6,666 responses from 303 respondents on 22 items. |
|---|---|
| Reference | Yslado-Mendez, R. M., Sanchez-Broncano, J., & De la Cruz-Valdiviano, C. (2023). Psychometric properties of the Maslach Burnout Inventory in healthcare professionals, Ancash [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8374494 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/8374494 |
| Responses | 6,666 |
|---|---|
| Respondents | 303 |
| Items | 22 |
| Response categories | 7 |
| Responses per respondent | 22 |
| Responses per item | 303 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
cov_agecov_diagnosed_covidcov_employment_statuscov_gendercov_hccov_hospitalcov_marital_statuscov_n_childrencov_occupationcov_tscov_typecov_work_areaiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("ysladomendez_2023_mbi")
# Python
pip install irw
import irw
df = irw.fetch("ysladomendez_2023_mbi")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |