bestQperm

Function <code>bestQperm</code> is used to rearrange the columns of the estimated Q so that
the order of the columns best matches that of the true Q-matrix.

Statistical tools for analyzing cognitive diagnosis (CD) data collected from small settings using the nonparametric classification (NPCD) framework. The core methods of the NPCD framework includes the nonparametric classification (NPC) method developed by Chiu and Douglas (2013) <DOI:10.1007/s00357-013-9132-9> and the general NPC (GNPC) method developed by Chiu, Sun, and Bian (2018) <DOI:10.1007/s11336-017-9595-4> and Chiu and Köhn (2019) <DOI:10.1007/s11336-019-09660-x>. An extension of the NPCD framework included in the package is the nonparametric method for multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023) <DOI:10.3102/10769986221133088>. Functions associated with various extensions concerning the evaluation, validation, and feasibility of the CD analysis are also provided. These topics include the completeness of Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.

Weixuan Xiao

NPCDTools

The Nonparametric Classification Methods for Cognitive Diagnosis

Chia-Yi Chiu

Xiran Wen

Yu Wang

bestQperm function

<dl><dt>estQ</dt>
<dd>The estimated Q-matrix.</dd>
<dt>trueQ</dt>
<dd>The true Q-matrix.</dd></dl>

Arguments

Column permutation of the estimated Q-matrix — bestQperm

<dl>

<dt>estQ</dt>
<dd>The estimated Q-matrix.</dd>


<dt>trueQ</dt>
<dd>The true Q-matrix.</dd>

</dl>

bestQperm: Column permutation of the estimated Q-matrix

Description

Usage

Value

Arguments