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Recent Integrations of Latent Variable Network Modeling With Psychometric Models

The combination of network modeling and psychometric models has opened up exciting directions of research. However, there has been confusion surrounding differences among network models, graphic models, latent variable models and their applications in psychology. In this paper, I attempt to remedy t...

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Detalles Bibliográficos
Autor principal: Wang, Selena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695432/
https://www.ncbi.nlm.nih.gov/pubmed/34955989
http://dx.doi.org/10.3389/fpsyg.2021.773289
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author Wang, Selena
author_facet Wang, Selena
author_sort Wang, Selena
collection PubMed
description The combination of network modeling and psychometric models has opened up exciting directions of research. However, there has been confusion surrounding differences among network models, graphic models, latent variable models and their applications in psychology. In this paper, I attempt to remedy this gap by briefly introducing latent variable network models and their recent integrations with psychometric models to psychometricians and applied psychologists. Following this introduction, I summarize developments under network psychometrics and show how graphical models under this framework can be distinguished from other network models. Every model is introduced using unified notations, and all methods are accompanied by available R packages inducive to further independent learning.
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spelling pubmed-86954322021-12-24 Recent Integrations of Latent Variable Network Modeling With Psychometric Models Wang, Selena Front Psychol Psychology The combination of network modeling and psychometric models has opened up exciting directions of research. However, there has been confusion surrounding differences among network models, graphic models, latent variable models and their applications in psychology. In this paper, I attempt to remedy this gap by briefly introducing latent variable network models and their recent integrations with psychometric models to psychometricians and applied psychologists. Following this introduction, I summarize developments under network psychometrics and show how graphical models under this framework can be distinguished from other network models. Every model is introduced using unified notations, and all methods are accompanied by available R packages inducive to further independent learning. Frontiers Media S.A. 2021-12-09 /pmc/articles/PMC8695432/ /pubmed/34955989 http://dx.doi.org/10.3389/fpsyg.2021.773289 Text en Copyright © 2021 Wang. https://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
Wang, Selena
Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title_full Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title_fullStr Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title_full_unstemmed Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title_short Recent Integrations of Latent Variable Network Modeling With Psychometric Models
title_sort recent integrations of latent variable network modeling with psychometric models
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695432/
https://www.ncbi.nlm.nih.gov/pubmed/34955989
http://dx.doi.org/10.3389/fpsyg.2021.773289
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