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An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale

While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation mod...

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Autores principales: Tóth-Király, István, Bõthe, Beáta, Rigó, Adrien, Orosz, Gábor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681952/
https://www.ncbi.nlm.nih.gov/pubmed/29163325
http://dx.doi.org/10.3389/fpsyg.2017.01968
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author Tóth-Király, István
Bõthe, Beáta
Rigó, Adrien
Orosz, Gábor
author_facet Tóth-Király, István
Bõthe, Beáta
Rigó, Adrien
Orosz, Gábor
author_sort Tóth-Király, István
collection PubMed
description While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; M(age) = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; M(age) = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one.
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spelling pubmed-56819522017-11-21 An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale Tóth-Király, István Bõthe, Beáta Rigó, Adrien Orosz, Gábor Front Psychol Psychology While exploratory factor analysis (EFA) provides a more realistic presentation of the data with the allowance of item cross-loadings, confirmatory factor analysis (CFA) includes many methodological advances that the former does not. To create a synergy of the two, exploratory structural equation modeling (ESEM) was proposed as an alternative solution, incorporating the advantages of EFA and CFA. The present investigation is thus an illustrative demonstration of the applicability and flexibility of ESEM. To achieve this goal, we compared CFA and ESEM models, then thoroughly tested measurement invariance and differential item functioning through multiple-indicators-multiple-causes (MIMIC) models on the Passion Scale, the only measure of the Dualistic Model of Passion (DMP) which differentiates between harmonious and obsessive forms of passion. Moreover, a hybrid model was also created to overcome the drawbacks of the two methods. Analyses of the first large community sample (N = 7,466; 67.7% females; M(age) = 26.01) revealed the superiority of the ESEM model relative to CFA in terms of improved goodness-of-fit and less correlated factors, while at the same time retaining the high definition of the factors. However, this fit was only achieved with the inclusion of three correlated uniquenesses, two of which appeared in previous studies and one of which was specific to the current investigation. These findings were replicated on a second, comprehensive sample (N = 504; 51.8% females; M(age) = 39.59). After combining the two samples, complete measurement invariance (factor loadings, item intercepts, item uniquenesses, factor variances-covariances, and latent means) was achieved across gender and partial invariance across age groups and their combination. Only one item intercept was non-invariant across both multigroup and MIMIC approaches, an observation that was further corroborated by the hybrid model. While obsessive passion showed a slight decline in the hybrid model, harmonious passion did not. Overall, the ESEM framework is a viable alternative of CFA that could be used and even extended to address substantially important questions and researchers should systematically compare these two approaches to identify the most suitable one. Frontiers Media S.A. 2017-11-07 /pmc/articles/PMC5681952/ /pubmed/29163325 http://dx.doi.org/10.3389/fpsyg.2017.01968 Text en Copyright © 2017 Tóth-Király, Bõthe, Rigó and Orosz. 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) or licensor 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
Tóth-Király, István
Bõthe, Beáta
Rigó, Adrien
Orosz, Gábor
An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title_full An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title_fullStr An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title_full_unstemmed An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title_short An Illustration of the Exploratory Structural Equation Modeling (ESEM) Framework on the Passion Scale
title_sort illustration of the exploratory structural equation modeling (esem) framework on the passion scale
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681952/
https://www.ncbi.nlm.nih.gov/pubmed/29163325
http://dx.doi.org/10.3389/fpsyg.2017.01968
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