dina_data_gen

<code>dina_data_gen()</code> returns the artificially generated item response data for the DINA model

Enables computationally efficient parameters-estimation by variational Bayesian methods for various diagnostic classification models (DCMs). DCMs are a class of discrete latent variable models for classifying respondents into latent classes that typically represent distinct combinations of skills they possess. Recently, to meet the growing need of large-scale diagnostic measurement in the field of educational, psychological, and psychiatric measurements, variational Bayesian inference has been developed as a computationally efficient alternative to the Markov chain Monte Carlo methods, e.g., Yamaguchi and Okada (2020a) <doi:10.1007/s11336-020-09739-w>, Yamaguchi and Okada (2020b) <doi:10.3102/1076998620911934>, Yamaguchi (2020) <doi:10.1007/s41237-020-00104-w>, Oka and Okada (2023) <doi:10.1007/s11336-022-09884-4>, and Yamaguchi and Martinez (2023) <doi:10.1111/bmsp.12308>. To facilitate their applications, 'variationalDCM' is developed to provide a collection of recently-proposed variational Bayesian estimation methods for various DCMs.

Keiichiro Hijikata

variationalDCM

Variational Bayesian Estimation for Diagnostic Classification
Models

Motonori Oka

Kazuhiro Yamaguchi

Kensuke Okada

dina_data_gen function

<dl><dt>Q</dt>
<dd>the \(J \times K\) binary matrix</dd>
<dt>I</dt>
<dd>the number of assumed respondents</dd>
<dt>attr_cor</dt>
<dd>the true value of the correlation among attributes (default: 0.1)</dd>
<dt>s</dt>
<dd>the true value of the slip parameter (default: 0.2)</dd>
<dt>g</dt>
<dd>the true value of the guessing parameter (default: 0.2)</dd>
<dt>seed</dt>
<dd>the seed value used for random number generation (default: 17)</dd></dl>

Arguments

Artificial data generating function for the DINA model based on the given Q-matrix — dina_data_gen

<dl>

<dt>Q</dt>
<dd>the \(J \times K\) binary matrix</dd>


<dt>I</dt>
<dd>the number of assumed respondents</dd>


<dt>attr_cor</dt>
<dd>the true value of the correlation among attributes (default: 0.1)</dd>


<dt>s</dt>
<dd>the true value of the slip parameter (default: 0.2)</dd>


<dt>g</dt>
<dd>the true value of the guessing parameter (default: 0.2)</dd>


<dt>seed</dt>
<dd>the seed value used for random number generation (default: 17)</dd>

</dl>

dina_data_gen: Artificial data generating function for the DINA model based on the given Q-matrix

Description

Usage

Value

Arguments

References

Examples