4,015 responses from 270 respondents to 15 items.
| Description | Maslach Burnout Inventory - Student Survey (15 items), Brazilian medical students |
|---|---|
| Reference | Boni RADS, Paiva CE, de Oliveira MA, Lucchetti G, Fregnani JHTG, Paiva BSR (2018). Burnout among medical students during the first years of undergraduate school: Prevalence and associated factors. PLOS ONE, 13(3), e0191746. https://doi.org/10.1371/journal.pone.0191746 |
| DOI | 10.1371/journal.pone.0191746 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0191746.s005 |
| Responses | 4,015 |
|---|---|
| Respondents | 270 |
| Items | 15 |
| Response categories | 7 |
| Responses per respondent | 14.870 |
| Responses per item | 267.667 |
| Density | 0.991 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
cov_family_incomecov_gendercov_self_perceived_healthiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("boni_2018_mbi_ss")
# Python
pip install irw
import irw
df = irw.fetch("boni_2018_mbi_ss")
| 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 |