199,400 responses from 1,994 respondents to 100 items.
| Description | Paper-based testing (PBT) 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 | 199,400 |
|---|---|
| Respondents | 1,994 |
| Items | 100 |
| Response categories | 2 |
| Responses per respondent | 100 |
| Responses per item | 1,994 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Paper-based testing (PBT) Medical Knowledge (Residency Exam) |
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_pbt")
# Python
pip install irw
import irw
df = irw.fetch("borges_brazil_residency_2024_pbt")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |