适度
计算机科学
结构方程建模
路径分析(统计学)
管理科学
数据科学
心理学
机器学习
工程类
作者
Jun‐Hwa Cheah,T. Ramayah,Mumtaz Ali Memon,Francis Chuah,Hiram Ting
摘要
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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