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Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure

In the context of multidimensional structures, with the presence of a common factor and multiple specific or group factors, estimates of reliability require specific estimators. The use of classical procedures such as the alpha coefficient or omega total that ignore structural complexity are not app...

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Autores principales: Trizano-Hermosilla, Italo, Gálvez-Nieto, José L., Alvarado, Jesús M., Saiz, José L., Salvo-Garrido, Sonia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263896/
https://www.ncbi.nlm.nih.gov/pubmed/34248723
http://dx.doi.org/10.3389/fpsyg.2021.508287
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author Trizano-Hermosilla, Italo
Gálvez-Nieto, José L.
Alvarado, Jesús M.
Saiz, José L.
Salvo-Garrido, Sonia
author_facet Trizano-Hermosilla, Italo
Gálvez-Nieto, José L.
Alvarado, Jesús M.
Saiz, José L.
Salvo-Garrido, Sonia
author_sort Trizano-Hermosilla, Italo
collection PubMed
description In the context of multidimensional structures, with the presence of a common factor and multiple specific or group factors, estimates of reliability require specific estimators. The use of classical procedures such as the alpha coefficient or omega total that ignore structural complexity are not appropriate, since they can lead to strongly biased estimates. Through a simulation study, the bias of six estimators of reliability in multidimensional measures was evaluated and compared. The study is complemented by an empirical illustration that exemplifies the procedure. Results showed that the estimators with the lowest bias in the estimation of the total reliability parameter are omega total, the two versions of greatest lower bound (GLB) and the alpha coefficient, which in turn are also those that produce the highest overestimation of the reliability of the general factor. Nevertheless, the most appropriate estimators, in that they produce less biased estimates of the reliability parameter of the general factor, are omega limit and omega hierarchical.
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spelling pubmed-82638962021-07-09 Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure Trizano-Hermosilla, Italo Gálvez-Nieto, José L. Alvarado, Jesús M. Saiz, José L. Salvo-Garrido, Sonia Front Psychol Psychology In the context of multidimensional structures, with the presence of a common factor and multiple specific or group factors, estimates of reliability require specific estimators. The use of classical procedures such as the alpha coefficient or omega total that ignore structural complexity are not appropriate, since they can lead to strongly biased estimates. Through a simulation study, the bias of six estimators of reliability in multidimensional measures was evaluated and compared. The study is complemented by an empirical illustration that exemplifies the procedure. Results showed that the estimators with the lowest bias in the estimation of the total reliability parameter are omega total, the two versions of greatest lower bound (GLB) and the alpha coefficient, which in turn are also those that produce the highest overestimation of the reliability of the general factor. Nevertheless, the most appropriate estimators, in that they produce less biased estimates of the reliability parameter of the general factor, are omega limit and omega hierarchical. Frontiers Media S.A. 2021-06-24 /pmc/articles/PMC8263896/ /pubmed/34248723 http://dx.doi.org/10.3389/fpsyg.2021.508287 Text en Copyright © 2021 Trizano-Hermosilla, Gálvez-Nieto, Alvarado, Saiz and Salvo-Garrido. 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
Trizano-Hermosilla, Italo
Gálvez-Nieto, José L.
Alvarado, Jesús M.
Saiz, José L.
Salvo-Garrido, Sonia
Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title_full Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title_fullStr Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title_full_unstemmed Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title_short Reliability Estimation in Multidimensional Scales: Comparing the Bias of Six Estimators in Measures With a Bifactor Structure
title_sort reliability estimation in multidimensional scales: comparing the bias of six estimators in measures with a bifactor structure
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263896/
https://www.ncbi.nlm.nih.gov/pubmed/34248723
http://dx.doi.org/10.3389/fpsyg.2021.508287
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