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An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models

In factor analysis, factor contributions of latent variables are assessed conventionally by the sums of the squared factor loadings related to the variables. First, the present paper considers issues in the conventional method. Second, an alternative entropy-based approach for measuring factor contr...

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Detalles Bibliográficos
Autores principales: Eshima, Nobuoki, Tabata, Minoru, Giovanni Borroni, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513159/
https://www.ncbi.nlm.nih.gov/pubmed/33265723
http://dx.doi.org/10.3390/e20090634
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author Eshima, Nobuoki
Tabata, Minoru
Giovanni Borroni, Claudio
author_facet Eshima, Nobuoki
Tabata, Minoru
Giovanni Borroni, Claudio
author_sort Eshima, Nobuoki
collection PubMed
description In factor analysis, factor contributions of latent variables are assessed conventionally by the sums of the squared factor loadings related to the variables. First, the present paper considers issues in the conventional method. Second, an alternative entropy-based approach for measuring factor contributions is proposed. The method measures the contribution of the common factor vector to the manifest variable vector and decomposes it into contributions of factors. A numerical example is also provided to demonstrate the present approach.
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spelling pubmed-75131592020-11-09 An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models Eshima, Nobuoki Tabata, Minoru Giovanni Borroni, Claudio Entropy (Basel) Article In factor analysis, factor contributions of latent variables are assessed conventionally by the sums of the squared factor loadings related to the variables. First, the present paper considers issues in the conventional method. Second, an alternative entropy-based approach for measuring factor contributions is proposed. The method measures the contribution of the common factor vector to the manifest variable vector and decomposes it into contributions of factors. A numerical example is also provided to demonstrate the present approach. MDPI 2018-08-24 /pmc/articles/PMC7513159/ /pubmed/33265723 http://dx.doi.org/10.3390/e20090634 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Eshima, Nobuoki
Tabata, Minoru
Giovanni Borroni, Claudio
An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title_full An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title_fullStr An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title_full_unstemmed An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title_short An Entropy-Based Approach for Measuring Factor Contributions in Factor Analysis Models
title_sort entropy-based approach for measuring factor contributions in factor analysis models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513159/
https://www.ncbi.nlm.nih.gov/pubmed/33265723
http://dx.doi.org/10.3390/e20090634
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