MSATB

The <code>MSATB</code> 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 <code>gender</code> represents gender of students, where 0 indicates
males (reference group) and 1 indicates females (focal group).

datasets

Detection of differential item functioning (DIF) among dichotomously scored items and differential distractor functioning (DDF) among unscored items with non-linear regression procedures based on generalized logistic regression models (Drabinova & Martinkova, 2017, <doi:10.1111/jedm.12158>).

Adela Hladka

difNLR

DIF and DDF Detection by Non-Linear Regression Models

Patricia Martinkova

Karel Zvara

MSATB function

A <code>MSATB</code> data frame consists of 1,407 observations on the following 21 variables:<dl class="dl-horizontal">
<dt>Item</dt><dd>dichotomously scored items of the test</dd>
<dt>gender</dt><dd>gender of respondents, <code>"0"</code> males, <code>"1"</code> females</dd>
</dl>

Format

Dichotomous dataset of Medical School Admission Test in Biology. — MSATB

A <code>MSATB</code> data frame consists of 1,407 observations on the following 21 variables:<dl class='dl-horizontal'>
<dt>Item</dt><dd>dichotomously scored items of the test</dd>
<dt>gender</dt><dd>gender of respondents, <code>"0"</code> males, <code>"1"</code> females</dd>
</dl>

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

Description

Usage

Arguments

Format

References

See Also