simulateRespondents

simulateRespondents,Cat-method

The function simulates <code>n</code> answer profiles given a true value of theta and a battery's item parameters stored in a <code>Cat</code> object.

Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2020) <doi:10.1093/jssam/smz027>. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.

Erin Rossiter

catSurv

Computerized Adaptive Testing for Survey Research

Jacob Montgomery

simulateRespondents function

<dl><dt>catObj</dt>
<dd>An object of class <code>Cat</code></dd>
<dt>theta</dt>
<dd>A numeric representing the true position on the latent trait.</dd>
<dt>n</dt>
<dd>A numeric indicating the number of answer profiles to simulate.</dd></dl>

Arguments

Haley Acevedo, Ryden Butler, Josh W. Cutler, Matt Malis, Jacob M. Montgomery, Tom Wilkinson, Erin Rossiter, Min Hee Seo, Alex Weil

Author

Simulate answer profiles given some true value of theta — simulateRespondents

<dl>

<dt>catObj</dt>
<dd>An object of class <code>Cat</code></dd>


<dt>theta</dt>
<dd>A numeric representing the true position on the latent trait.</dd>


<dt>n</dt>
<dd>A numeric indicating the number of answer profiles to simulate.</dd>

</dl>

simulateRespondents: Simulate answer profiles given some true value of theta

Description

Usage

Value

Arguments

Author

Examples