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Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable

This study proposes an integrated analysis in evaluating the role of a mediating variable. An integrated method of structural equation modeling and causal steps was employed. The procedure commenced with the conceptual model and hypotheses development, followed by validity and reliability tests usin...

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Detalles Bibliográficos
Autores principales: Syafiq, Muhammad, Sirojuzilam, Badaruddin, Purwoko, Agus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283657/
https://www.ncbi.nlm.nih.gov/pubmed/35847242
http://dx.doi.org/10.1016/j.mex.2022.101777
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author Syafiq, Muhammad
Sirojuzilam
Badaruddin
Purwoko, Agus
author_facet Syafiq, Muhammad
Sirojuzilam
Badaruddin
Purwoko, Agus
author_sort Syafiq, Muhammad
collection PubMed
description This study proposes an integrated analysis in evaluating the role of a mediating variable. An integrated method of structural equation modeling and causal steps was employed. The procedure commenced with the conceptual model and hypotheses development, followed by validity and reliability tests using International Business Machines (IBM) Statistical Package for the Social Sciences (SPSS) Statistics 25. Then confirmatory and regression analyses were carried out using Structural Equation Modeling (SEM)-Analysis of Moment Structures (AMOS), for model modification. Finally, the causal steps method was employed to evaluate the role of the mediating variable. • This method integrates the use of SEM and causal steps; • It includes the validation of the model, variables, and constructs; • Also, it involves model modification.
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spelling pubmed-92836572022-07-16 Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable Syafiq, Muhammad Sirojuzilam Badaruddin Purwoko, Agus MethodsX Method Article This study proposes an integrated analysis in evaluating the role of a mediating variable. An integrated method of structural equation modeling and causal steps was employed. The procedure commenced with the conceptual model and hypotheses development, followed by validity and reliability tests using International Business Machines (IBM) Statistical Package for the Social Sciences (SPSS) Statistics 25. Then confirmatory and regression analyses were carried out using Structural Equation Modeling (SEM)-Analysis of Moment Structures (AMOS), for model modification. Finally, the causal steps method was employed to evaluate the role of the mediating variable. • This method integrates the use of SEM and causal steps; • It includes the validation of the model, variables, and constructs; • Also, it involves model modification. Elsevier 2022-06-30 /pmc/articles/PMC9283657/ /pubmed/35847242 http://dx.doi.org/10.1016/j.mex.2022.101777 Text en © 2022 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Syafiq, Muhammad
Sirojuzilam
Badaruddin
Purwoko, Agus
Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title_full Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title_fullStr Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title_full_unstemmed Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title_short Integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
title_sort integrated structural equation modeling and causal steps in evaluating the role of the mediating variable
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283657/
https://www.ncbi.nlm.nih.gov/pubmed/35847242
http://dx.doi.org/10.1016/j.mex.2022.101777
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