dataDIF

<p>Item responses and group membership.</p>

datasets

Computation of direct, chain and average (bisector) equating coefficients with
standard errors using Item Response Theory (IRT) methods for dichotomous items
(Battauz (2013) <doi:10.1007/s11336-012-9316-y>,
Battauz (2015) <doi:10.18637/jss.v068.i07>).
Test scoring can be performed by true score equating and observed score equating methods.
DIF detection can be performed using a Wald-type test
(Battauz (2019) <doi:10.1007/s10260-018-00442-w>).
The package includes tests to assess the stability of the equating transformations
(Battauz(2022) <doi:10.1111/stan.12277>).

Michela Battauz

equateIRT

IRT Equating Methods

dataDIF function

<p>A dataframe with 3000 dichotomous responses to 20 items (<code>I01</code> to <code>I20</code>) 
	and group membership (<code>group</code>).</p>

dataDIF: Simulated Data Set with DIF

Description

Usage

Arguments

Format

Author

See Also

Examples