inform_f_item

Item response theory (IRT) parameter estimation using marginal maximum likelihood and expectation-maximization algorithm
(Bock & Aitkin, 1981 <doi:10.1007/BF02293801>).
Within parameter estimation algorithm, several methods for latent distribution estimation are available.
Reflecting some features of the true latent distribution, these latent distribution estimation methods can possibly enhance the estimation accuracy and free the normality assumption on the latent distribution.

Seewoo Li

IRTest

Parameter Estimation of Item Response Theory with Estimation of
Latent Distribution

inform_f_item function

<dl><dt>x</dt>
<dd>A vector of \(\theta\) value(s).</dd>
<dt>test</dt>
<dd>An object returned from an estimation function.</dd>
<dt>item</dt>
<dd>A natural number indicating the \(n\)th item.</dd>
<dt>type</dt>
<dd>A character value for a mixed format test which determines the item type:
<code>"d"</code> and <code>"p"</code> stand for a dichotomous and polytomous item, respectively.</dd></dl>

Arguments

Seewoo Li <a href="/link/cu%40yonsei.ac.kr?package=IRTest&version=2.1.0" data-mini-rdoc="IRTest::cu@yonsei.ac.kr">cu@yonsei.ac.kr</a>

Author

Item information function — inform_f_item

<dl>

<dt>x</dt>
<dd>A vector of \(\theta\) value(s).</dd>


<dt>test</dt>
<dd>An object returned from an estimation function.</dd>


<dt>item</dt>
<dd>A natural number indicating the \(n\)th item.</dd>


<dt>type</dt>
<dd>A character value for a mixed format test which determines the item type:
<code>"d"</code> and <code>"p"</code> stand for a dichotomous and polytomous item, respectively.</dd>

</dl>

Seewoo Li <a href='mailto:cu@yonsei.ac.kr'>cu@yonsei.ac.kr</a>

inform_f_item: Item information function

Description

Usage

Value

Arguments

Author