dataMedical: Dichotomous dataset of admission test to medical school

In netique/ShinyItemAnalysis: Test and Item Analysis via Shiny

Description

The dataMedical dataset consists of the responses of 2,392 subjects (750 males, 1,633 females and 9 subjects without gender specification) to admission test to a medical school. It contains 100 items. A correct answer is coded as "1" and incorrect answer as "0". Missing answers were evaluated as incorrect, i.e. "0".

Usage

data(dataMedical)

Format

A dataMedical is a data.frame consisting of 2,392 observations on the following 102 variables.

X

The first 100 columns represent dichotomously scored items of the test.

gender

Variable describing gender; values "0" and "1" refer to males and females.

StudySuccess

Criterion variable; value "1" means that student studies standardly, "0" otherwise (e.g., leaving or interrupting studies).

Source

Stuka, C., Vejrazka, M., Martinkova, P., Komenda, M., & Stepanek, L. (2016). The use of test and item analysis for improvement of tests. Workshop held at conference MEFANET, 2016, Brno, Czech Republic.

References

Martinkova, P., & Drabinova, A. (2018). ShinyItemAnalysis for teaching psychometrics and to enforce routine analysis of educational tests. The R Journal, 10(2), 503–515, doi: 10.32614/RJ-2018-074

See Also

dataMedicaltest, dataMedicalkey, dataMedicalgraded

netique/ShinyItemAnalysis documentation built on Dec. 22, 2021, 12:10 a.m.