discrimination

Estimates item discrimination of a corrected matrix or
data frame.

stats

Functions for classical test theory analysis, following methods presented by Wu et al. (2006) <doi:10.1007/978-981-10-3302-5>.

Andrés Christiansen

classicaltest

Classical Test Theory (CTT) Analysis

discrimination function

<dl><dt>x</dt>
<dd>a data frame or matrix of scored data.</dd>
<dt>wt</dt>
<dd>a vector with total weights. Default is <code>NULL</code>.</dd>
<dt>itemscores</dt>
<dd>a numeric vector indicating all the possible scores for all items.
If <code>NULL</code>, possible scores will be derived from data.</dd>
<dt>administered</dt>
<dd>a logical matrix indicating which items were administered.
The dimensions should be the same as <code>x</code>. If <code>NULL</code> all items
are considered administered.</dd></dl>

Arguments

Item discrimination — discrimination

<dl>

<dt>x</dt>
<dd>a data frame or matrix of scored data.</dd>


<dt>wt</dt>
<dd>a vector with total weights. Default is <code>NULL</code>.</dd>


<dt>itemscores</dt>
<dd>a numeric vector indicating all the possible scores for all items.
If <code>NULL</code>, possible scores will be derived from data.</dd>


<dt>administered</dt>
<dd>a logical matrix indicating which items were administered.
The dimensions should be the same as <code>x</code>. If <code>NULL</code> all items
are considered administered.</dd>

</dl>

discrimination: Item discrimination

Description

Usage

Value

Arguments

Examples