Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation

A log-linear cognitive diagnostic model (LCDM) is estimated via a global optimization approach- differential evolution optimization (DEoptim), which can be used when the traditional expectation maximization (EM) fails. The application of the DEoptim to LCDM estimation is introduced, explicated, and...

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Detalles Bibliográficos
Autores principales: Jiang, Zhehan, Ma, Wenchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232523/
https://www.ncbi.nlm.nih.gov/pubmed/30459691
http://dx.doi.org/10.3389/fpsyg.2018.02142
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author Jiang, Zhehan
Ma, Wenchao
author_facet Jiang, Zhehan
Ma, Wenchao
author_sort Jiang, Zhehan
collection PubMed
description A log-linear cognitive diagnostic model (LCDM) is estimated via a global optimization approach- differential evolution optimization (DEoptim), which can be used when the traditional expectation maximization (EM) fails. The application of the DEoptim to LCDM estimation is introduced, explicated, and evaluated via a Monte Carlo simulation study in this article. The aim of this study is to fill the gap between the field of psychometric modeling and modern machine learning estimation techniques and provide an alternative solution in the model estimation.
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spelling pubmed-62325232018-11-20 Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation Jiang, Zhehan Ma, Wenchao Front Psychol Psychology A log-linear cognitive diagnostic model (LCDM) is estimated via a global optimization approach- differential evolution optimization (DEoptim), which can be used when the traditional expectation maximization (EM) fails. The application of the DEoptim to LCDM estimation is introduced, explicated, and evaluated via a Monte Carlo simulation study in this article. The aim of this study is to fill the gap between the field of psychometric modeling and modern machine learning estimation techniques and provide an alternative solution in the model estimation. Frontiers Media S.A. 2018-11-06 /pmc/articles/PMC6232523/ /pubmed/30459691 http://dx.doi.org/10.3389/fpsyg.2018.02142 Text en Copyright © 2018 Jiang and Ma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Jiang, Zhehan
Ma, Wenchao
Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title_full Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title_fullStr Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title_full_unstemmed Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title_short Integrating Differential Evolution Optimization to Cognitive Diagnostic Model Estimation
title_sort integrating differential evolution optimization to cognitive diagnostic model estimation
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6232523/
https://www.ncbi.nlm.nih.gov/pubmed/30459691
http://dx.doi.org/10.3389/fpsyg.2018.02142
work_keys_str_mv AT jiangzhehan integratingdifferentialevolutionoptimizationtocognitivediagnosticmodelestimation
AT mawenchao integratingdifferentialevolutionoptimizationtocognitivediagnosticmodelestimation

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