dataMedicaltest: Dataset of admission test to medical school
In netique/ShinyItemAnalysis: Test and Item Analysis via Shiny

Description Usage Format Source References See Also

The dataMedicaltest dataset consists of the responses of 2,392 subjects (750 males, 1,633 females and 9 subjects without gender specification) to multiple-choice admission test to a medical school. It contains 100 items, possible answers were A, B, C, D, while any combination of these can be correct.

1	data(dataMedicaltest)

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

X: The first 100 columns represent items answers.
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).

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.

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

dataMedical, dataMedicalkey, dataMedicalgraded

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