Data Set of Admission Test to Medical School

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Description

The difMedicaltest data set consists of the responses of 1,407 subjects (484 males, 923 females) to multiple-choice admission test to medical school in Czech republic. It contains 20 selected items from original test while first item was previously detected detected as differently functioning (Vlckova, 2014). Possible answers were A, B, C, D, while any combination of these can be correct. The column gender represents gender of students, where 0 represents males (reference group) and 1 represents females (focal group).

Usage

1
data(difMedicaltest)

Format

A difMedicaltest data frame consists of 1,407 observations on the following 21 variables. The first 20 columns represent answers of subject to an items of the test. The 21st column is vector subjects' gender; values 0 and 1 refer to males (reference group) and females (focal group).

Author(s)

Adela Drabinova
Institute of Computer Science, The Czech Academy of Sciences
Faculty of Mathematics and Physics, Charles University
adela.drabinova@gmail.com

Patricia Martinkova
Institute of Computer Science, The Czech Academy of Sciences
martinkova@cs.cas.cz

Karel Zvara
Faculty of Mathematics and Physics, Charles University

References

Vlckova, K. (2014). Test and Item Fairness (Unpublished master's thesis).

Drabinova, A. and Martinkova P. (2016). Detection of Differenctial Item Functioning Based on Non-Linear Regression, Technical Report, V-1229, http://hdl.handle.net/11104/0259498.

See Also

difMedical, difMedicalkey