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Multigroup analysis using SmartPLS: step-by-step guidelines for business research


Citation

Cheah, Jun Hwa and Thurasamy, Ramayah and Memon, Mumtaz Ali and Chuah, Francis and Ting, Hiram (2020) Multigroup analysis using SmartPLS: step-by-step guidelines for business research. Asian Journal of Business Research, 10 (3). pp. 1-19. ISSN 2463-4522; ESSN:1778-8933

Abstract

Multigroup Analysis (MGA) using partial least squares path modelling (PLSPM) is an efficient approach to evaluate moderation across multiple relationships in a research model. This editorial explains the importance and the usage of MGA, especially when a study intends to understand heterogeneity effects (i.e., cross-cultural or gender differences) in a business research. We provide step-by-step guidelines to perform MGA using SmartPLS 3.3.2, including the assessment of measurement invariance using the measurement invariance of composite models (MICOM) procedure. We believe that this editorial will enable researchers and postgraduate students to conduct MGA with confidence to draw meaningful insights from the data and examine the differences across the groups under investigation.


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Additional Metadata

Item Type: Article
Divisions: School of Business and Economics
DOI Number: https://doi.org/10.14707/ajbr.200087
Publisher: MAG Scholar
Keywords: Measurement invariance; Multigroup analysis; Partial least squares path modelling; PLSPM
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 22 Nov 2021 02:32
Last Modified: 22 Nov 2021 02:32
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.14707/ajbr.200087
URI: http://psasir.upm.edu.my/id/eprint/86850
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