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 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, boni_2018_mbi_ss.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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_family_income | Covariate | Total_Family_income |
cov_gender | Covariate | Gender |
cov_self_perceived_health | Covariate | Self_perception_of_health |
What item codes and covariate values stand for is in the codebook released with the source data.
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("boni_2018_mbi_ss")
# Python
pip install irw
import irw
df = irw.fetch("boni_2018_mbi_ss")
@article{Boni_2018, title={Burnout among medical students during the first years of undergraduate school: Prevalence and associated factors}, volume={13}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0191746}, DOI={10.1371/journal.pone.0191746}, number={3}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Boni, Robson Aparecido dos Santos and Paiva, Carlos Eduardo and de Oliveira, Marco Antonio and Lucchetti, Giancarlo and Fregnani, José Humberto Tavares Guerreiro and Paiva, Bianca Sakamoto Ribeiro}, editor={Bianchi, Cesario}, year={2018}, month=Mar, pages={e0191746} }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |