386,760 responses from 3,223 respondents to 120 items.
The scored version of this table is borges_brazil_residency_2024_cbt.
| Description | Computer-based testing (CBT) for medical residency applications in Brazil |
|---|---|
| Reference | Borges, M. C., Santos, L. L., Manso, P. H., Moisés, E. C. D., Coltro, P. S., Fonseca, P. C., ... & Ricz, H. M. A. (2024). Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric study. Journal of Educational Evaluation for Health Professions, 21, 32. |
| DOI | 10.3352/jeehp.2024.21.32 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YJP1ZM |
| Responses | 386,760 |
|---|---|
| Respondents | 3,223 |
| Items | 120 |
| Response categories | 5 |
| Responses per respondent | 120 |
iditemresptext
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("borges_brazil_residency_2024_cbt_nom", source = "nom")
# Python
pip install irw
import irw
df = irw.fetch("borges_brazil_residency_2024_cbt_nom", source="nom")
@article{Borges_2024, title={Increased accessibility of computer-based testing for residency application to a hospital in Brazil with item characteristics comparable to paper-based testing: a psychometric study}, volume={21}, ISSN={1975-5937}, url={http://dx.doi.org/10.3352/jeehp.2024.21.32}, DOI={10.3352/jeehp.2024.21.32}, journal={Journal of Educational Evaluation for Health Professions}, publisher={Korea Health Personnel Licensing Examination Institute}, author={Borges, Marcos Carvalho and Santos, Luciane Loures and Manso, Paulo Henrique and Moisés, Elaine Christine Dantas and Coltro, Pedro Soler and Fonseca, Priscilla Costa and Gentil, Paulo Roberto Alves and Santana, Rodrigo de Carvalho and Rodrigues, Lucas Faria and Maciel, Benedito Carlos and Ricz, Hilton Marcos Alves}, year={2024}, month=Nov, pages={32} }
| IRW version | v439 |
|---|---|
| Redivis dataset | irw_nominal v2.0 |
| Redivis dataset DOI | 10.57761/we2p-ym20 |
| Manifest pin for this IRW version | v2.0 |
| Metadata source | irw_meta v27.0 |