Open AccessMultigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research
Author(s) -
JunHwa Cheah,
T. Ramayah,
Mumtaz Ali Memon,
Francis Chuah,
Hiram Ting
Publication year - 2020
Publication title -
asian journal of business research
Language(s) - English
Resource type - Journals
eISSN - 2463-4522
pISSN - 1178-8933
DOI - 10.14707/ajbr.200087
Subject(s) - moderation , computer science , structural equation modeling , path analysis (statistics) , management science , data science , psychology , machine learning , engineering
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.