get.Rmatrix

This function returns the restriction matrix (de la Torre, 2011; Ma &amp; de la Torre, 2020) based on two q-vectors, 
where the two q-vectors can only differ by one attribute.

Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <DOI:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et la. (2013) <DOI:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are available.

Haijiang Qin

Qval

The Q-Matrix Validation Methods Framework

Lei Guo

get.Rmatrix function

<dl><dt>q1</dt>
<dd>A q-vector</dd>
<dt>q2</dt>
<dd>Another q-vector</dd></dl>

Arguments

Restriction matrix — get.Rmatrix

<dl>

<dt>q1</dt>
<dd>A q-vector</dd>


<dt>q2</dt>
<dd>Another q-vector</dd>

</dl>

get.Rmatrix: Restriction matrix

Description

Usage

Value

Arguments

References

Examples