sim30pGDINA

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 based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <DOI:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <DOI:10.1177/0146621613479818> for polytomous attributes. 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. For tutorials, please check Ma and de la Torre (2020) <DOI:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <DOI:10.1111/emip.12262>, Ma (2019) <DOI:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019).

Wenchao Ma

GDINA

The Generalized DINA Model Framework

Jimmy de la Torre

Miguel Sorrel

Zhehan Jiang

sim30pGDINA function

A list with components:<dl>
<dt><code>simdat</code></dt>
<dd>simulated responses of 3000 examinees</dd><dt><code>simQ</code></dt>
<dd>artificial 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, polytomous G-DINA model) — sim30pGDINA

A list with components:<dl>
<dt><code>simdat</code></dt>
<dd>simulated responses of 3000 examinees</dd>

<dt><code>simQ</code></dt>
<dd>artificial Q-matrix</dd>

<dt><code>simItempar</code></dt>
<dd>artificial item parameters(probability of success for each latent group)</dd>


</dl>

sim30pGDINA: Simulated data (30 items, polytomous G-DINA model)

Description

Usage

Arguments

Format