sim30GDINA

Simulated data, Q-matrix and item parameters for a 30-item test measuring 5 attributes.

datasets

A set of psychometric tools for cognitive diagnosis modeling for both dichotomous and polytomous responses. Various cognitive diagnosis models can be estimated, include the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7>, the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070>, and many other models they subsume. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.

Wenchao Ma

GDINA

The Generalized DINA Model Framework

Jimmy de la Torre

Miguel Sorrel

sim30GDINA function

A list with components:<dl class="dl-horizontal">
<dt><code>simdat</code></dt><dd>simulated responses of 1000 examinees</dd>
<dt><code>simQ</code></dt><dd>artificial \(30 \times 5\) Q-matrix</dd>
<dt><code>simItempar</code></dt><dd>artificial item parameters(probability of success for each latent group)</dd>
</dl>

Format

Simulated data (30 items, G-DINA model) — sim30GDINA

A list with components:<dl class='dl-horizontal'>
<dt><code>simdat</code></dt><dd>simulated responses of 1000 examinees</dd>
<dt><code>simQ</code></dt><dd>artificial \(30 \times 5\) Q-matrix</dd>
<dt><code>simItempar</code></dt><dd>artificial item parameters(probability of success for each latent group)</dd>
</dl>

sim30GDINA: Simulated data (30 items, G-DINA model)

Description

Usage

Arguments

Format