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Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism

The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur. Even if the primary interest is to provide diagnostic classification o...

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Detalles Bibliográficos
Autores principales: Shan, Na, Wang, Xiaofei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733994/
https://www.ncbi.nlm.nih.gov/pubmed/33329195
http://dx.doi.org/10.3389/fpsyg.2020.564707
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author Shan, Na
Wang, Xiaofei
author_facet Shan, Na
Wang, Xiaofei
author_sort Shan, Na
collection PubMed
description The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur. Even if the primary interest is to provide diagnostic classification of respondents, misspecification of missing data mechanism may lead to biased conclusions. This paper proposes a joint cognitive diagnosis modeling of item responses and item-level missing data mechanism. A Bayesian Markov chain Monte Carlo (MCMC) method is developed for model parameter estimation. Our simulation studies examine the parameter recovery under different missing data mechanisms. The parameters could be recovered well with correct use of missing data mechanism for model fit, and missing that is not at random is less sensitive to incorrect use. The Program for International Student Assessment (PISA) 2015 computer-based mathematics data are applied to demonstrate the practical value of the proposed method.
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spelling pubmed-77339942020-12-15 Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism Shan, Na Wang, Xiaofei Front Psychol Psychology The aim of cognitive diagnosis is to classify respondents' mastery status of latent attributes from their responses on multiple items. Since respondents may answer some but not all items, item-level missing data often occur. Even if the primary interest is to provide diagnostic classification of respondents, misspecification of missing data mechanism may lead to biased conclusions. This paper proposes a joint cognitive diagnosis modeling of item responses and item-level missing data mechanism. A Bayesian Markov chain Monte Carlo (MCMC) method is developed for model parameter estimation. Our simulation studies examine the parameter recovery under different missing data mechanisms. The parameters could be recovered well with correct use of missing data mechanism for model fit, and missing that is not at random is less sensitive to incorrect use. The Program for International Student Assessment (PISA) 2015 computer-based mathematics data are applied to demonstrate the practical value of the proposed method. Frontiers Media S.A. 2020-11-30 /pmc/articles/PMC7733994/ /pubmed/33329195 http://dx.doi.org/10.3389/fpsyg.2020.564707 Text en Copyright © 2020 Shan and Wang. 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
Shan, Na
Wang, Xiaofei
Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title_full Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title_fullStr Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title_full_unstemmed Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title_short Cognitive Diagnosis Modeling Incorporating Item-Level Missing Data Mechanism
title_sort cognitive diagnosis modeling incorporating item-level missing data mechanism
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733994/
https://www.ncbi.nlm.nih.gov/pubmed/33329195
http://dx.doi.org/10.3389/fpsyg.2020.564707
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