MSATB: Dichotomous dataset of Medical School Admission Test in...

In adelahladka/difNLR: DIF and DDF Detection by Non-Linear Regression Models

Dichotomous dataset of Medical School Admission Test in Biology.

Description

The MSATB dataset consists of the responses of 1,407 subjects (484 males, 923 females) to admission test to medical school in the Czech republic. It contains 20 selected items from original test while first item was previously detected as differently functioning (Vlckova, 2014). A correct answer is coded as 1 and incorrect answer as 0. The column gender represents gender of students, where 0 indicates males (reference group) and 1 indicates females (focal group).

Usage

data(MSATB)

Format

A MSATB data frame consists of 1,407 observations on the following 21 variables:

Item

dichotomously scored items of the test

gender

gender of respondents, "0" males, "1" females

Author(s)

Adela Hladka (nee Drabinova)
Institute of Computer Science of the Czech Academy of Sciences
Faculty of Mathematics and Physics, Charles University
[e-mail]

Patricia Martinkova
Institute of Computer Science of the Czech Academy of Sciences
[e-mail]

References

Drabinova, A. & Martinkova, P. (2017). Detection of differential item functioning with nonlinear regression: A non-IRT approach accounting for guessing. Journal of Educational Measurement, 54(4), 498–517, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/jedm.12158")}.

Vlckova, K. (2014). Test and item fairness. Master's thesis. Faculty of Mathematics and Physics, Charles University.

See Also

MSATBtest, MSATBkey

adelahladka/difNLR documentation built on Dec. 23, 2024, 2:20 a.m.