2,730 responses from 182 respondents to 15 items.
| Description | Maslach Burnout Inventory (MBI, 15 items, the paper's focal instrument), Greek medical students, N=182 |
|---|---|
| Reference | Nteveros A, Kyprianou M, Artemiadis A, Charalampous A, Christoforaki K, Cheilidis S, et al. (2020). Burnout among medical students in Cyprus: A cross-sectional study. PLOS ONE, 15(11), e0241335. https://doi.org/10.1371/journal.pone.0241335 |
| DOI | 10.1371/journal.pone.0241335 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0241335.s012 |
| Responses | 2,730 |
|---|---|
| Respondents | 182 |
| Items | 15 |
| Response categories | 7 |
| Responses per respondent | 15 |
| Responses per item | 182 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | gre |
cov_age_rangecov_marital_statuscov_sexcov_study_yeariditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("nteveros_2021_mbi")
# Python
pip install irw
import irw
df = irw.fetch("nteveros_2021_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 |