A simulated dataset containing six binary items and three DIF covariates

datasets

Performs regularization of differential item functioning (DIF) parameters
in item response theory (IRT) models (Belzak & Bauer, 2020)
<https://pubmed.ncbi.nlm.nih.gov/31916799/> using a penalized expectation-maximization
algorithm.

William Belzak

regDIF

Regularized Differential Item Functioning

ida function

A data frame with 500 rows and 9 variables:<dl>
 <dt>item1</dt>
<dd></dd> <dt>item2</dt>
<dd></dd> <dt>item3</dt>
<dd></dd> <dt>item4</dt>
<dd></dd> <dt>item5</dt>
<dd></dd> <dt>item6</dt>
<dd></dd> <dt>age</dt>
<dd></dd> <dt>gender</dt>
<dd></dd> <dt>study</dt>
<dd></dd>
 ...</dl>

Format

Simulated data example with multiple DIF covariates — ida

A data frame with 500 rows and 9 variables:<dl>
 <dt>item1</dt>
<dd></dd>

 <dt>item2</dt>
<dd></dd>

 <dt>item3</dt>
<dd></dd>

 <dt>item4</dt>
<dd></dd>

 <dt>item5</dt>
<dd></dd>

 <dt>item6</dt>
<dd></dd>

 <dt>age</dt>
<dd></dd>

 <dt>gender</dt>
<dd></dd>

 <dt>study</dt>
<dd></dd>


 ...

</dl>

ida: Simulated data example with multiple DIF covariates

Description

Usage

Arguments

Format