Estimates theta with Expected a Posteriori

Computerized Adaptive Testing simulations with dichotomous and polytomous items. Selects items with Maximum Fisher Information method or randomly, with or without constraints (content balancing and item exposure control). Evaluates the simulation results in terms of precision, item exposure, and test length. Inspired on Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>.

Alexandre Jaloto 

simCAT

Implements Computerized Adaptive Testing Simulations

Alexandre Jaloto

Ricardo Primi

eap function

<dl><dt>pattern</dt>
<dd>response pattern (0 and 1) with the number of columns
corresponding to the number of items</dd>
<dt>bank</dt>
<dd>data.frame with item parameters (a, b, c)</dd></dl>

Arguments

Author

EAP estimation — eap

<dl>

<dt>pattern</dt>
<dd>response pattern (0 and 1) with the number of columns
corresponding to the number of items</dd>


<dt>bank</dt>
<dd>data.frame with item parameters (a, b, c)</dd>

</dl>

eap: EAP estimation

Description

Usage

Value

Arguments

Author

Details