dataMedicalgraded: Graded Dataset of Admission Test to Medical School

Description Usage Format Author(s) References See Also

Description

The dataMedicalgraded 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. Each item is graded with 0 to 4 points. Maximum of 4 points were set if all correct answers and none of incorrect answers were selected.

Usage

1

Format

A dataMedicalgraded is a data.frame consisting of 2,392 observations on the following 102 variables. The first 100 columns represent graded answers of subject to items of the test. The 101st column is vector of gender membership; values 0 and 1 refer to males and females. The 102nd columns in criterion variable; value 1 means that student study standardly, 0 otherwise (e.g. leaving or interrupting studies).

Author(s)

Cestmir Stuka
First Faculty of Medicine, Charles University in Prague

Martin Vejrazka
First Faculty of Medicine, Charles University in Prague

Patricia Martinkova
Institute of Computer Science, The Czech Academy of Sciences
[email protected]

Jakub Houdek
Institute of Computer Science, The Czech Academy of Sciences
The Faculty of Informatics and Statistics, University of Economics, Prague
[email protected]

Adela Drabinova
Institute of Computer Science, The Czech Academy of Sciences
Faculty of Mathematics and Physics, Charles University
[email protected]

References

Stuka, C. Vejrazka, M., Martinkova, P. Komenda, M. & Stepanek, L. (2016). The Use of Test and Item Analisis for Improvement of Tests. Workshop held at conference MEFANET, 2016, Brno, Czech Republic.

See Also

dataMedical, dataMedicaltest, dataMedicalkey


patriciamar/ShinyItemAnalysis documentation built on Jan. 14, 2019, 8:53 p.m.