Journal of Applied Structural Equation Modeling, Volume 1 Issue 1 – Published online: 10 June 2017
EDITORIAL – A REVIEW OF THE METHODOLOGICAL MISCONCEPTIONS AND GUIDELINES RELATED TO THE APPLICATION OF STRUCTURAL EQUATION MODELING: A MALAYSIAN SCENARIO
Mumtaz Ali Memon, Universiti Teknologi PETRONAS, Perak, Malaysia | [email protected]
Hiram Ting, Sarawak Research Society, Sarawak, Malaysia | [email protected]
T. Ramayah, Universiti Sains Malaysia, Penang, Malaysia | r[email protected]
Francis Chuah, Universiti Utara Malaysia, Kedah, Malaysia | [email protected]
Jun-Hwa Cheah, Universiti Teknologi Malaysia IBS-KL, Malaysia | [email protected]
Corresponding Author: Mumtaz Ali Memon | Email: [email protected]
Although structural equation modeling (SEM) is a powerful statistical technique, understanding its methodological assumptions before data analyses is essential to attaining more robust results. In this editorial, we outline four major methodological issues which are related to the application of SEM in Malaysia along with their respective guidelines. These issues include 1) probability and non-probability sampling, 2) pre-testing and pilot study, 3) CB-SEM and PLS-SEM, and 4) exploratory and confirmatory factor analysis. We also recommend the steps that the local research community, especially the postgraduate students, should consider taking to keep themselves up-to-date with methodological advances and to make informed decisions about the use of SEM. This humble effort will help to clarify the confusion and doubts many lecturers and postgraduate students in Malaysia might have, and provide directions to help them proceed in a practical manner.
Keywords: PLS-SEM; CB-SEM; structural equation modeling; probability sampling; non-probability sampling; pre-testing; pilot study; CFA; EFA; Methodology
Citation: Memon, Ting, Ramayah, Chuah & Cheah (2017). A Review of the Methodological Misconceptions and Guidelines Related to the Application of Structural Equation Modeling: A Malaysian Scenario. Journal of Applied Structural Equation Modeling. 1(1),i-xiii.
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