Q.generate

The function generates a complete Q-matrix based on a
pre-specified probability of getting a one.

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

Q.generate function

<dl><dt>K</dt>
<dd>The number of attributes</dd>
<dt>J</dt>
<dd>The number of items</dd>
<dt>p</dt>
<dd>The probability of getting a one in the Q-matrix</dd>
<dt>single.att</dt>
<dd>Whether all the single attribute patterns are included.
If <code>T</code>, the completeness of the Q-matrix is guaranteed.</dd></dl>

Arguments

Generation of Dichotomous Q-Matrix — Q.generate

<dl>

<dt>K</dt>
<dd>The number of attributes</dd>


<dt>J</dt>
<dd>The number of items</dd>


<dt>p</dt>
<dd>The probability of getting a one in the Q-matrix</dd>


<dt>single.att</dt>
<dd>Whether all the single attribute patterns are included.
If <code>T</code>, the completeness of the Q-matrix is guaranteed.</dd>

</dl>

Q.generate: Generation of Dichotomous Q-Matrix

Description

Usage

Value

Arguments

Examples