borges_brazil_residency_2024_pbt

199,400 responses from 1,994 respondents to 100 items.

A version of this table that keeps the option each respondent chose is borges_brazil_residency_2024_pbt_nom.

One of 4 tables from the same source; this one measures Paper-based testing (PBT) Medical Knowledge (Residency Exam). The others are listed under Related tables.

About this table

DescriptionPaper-based testing (PBT) for medical residency applications in Brazil
ReferenceBorges, 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.
DOI10.3352/jeehp.2024.21.32
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YJP1ZM

Size and shape

Responses199,400
Respondents1,994
Items100
Response categories2
Responses per respondent100
Responses per item1,994
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, Targeted/specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)por
construct namePaper-based testing (PBT) Medical Knowledge (Residency Exam)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Other columns
textNot documented Not documented by the IRW; see the source’s codebook.not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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("borges_brazil_residency_2024_pbt")
# Python
pip install irw

import irw
df = irw.fetch("borges_brazil_residency_2024_pbt")

How to cite

@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} }

Version and provenance

IRW versionv557
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v40.0