Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research

Q2 Social Sciences
J. Cheah, R. Thurasamy, M. Memon, Francis Chuah, H. Ting
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引用次数: 102

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.
多组分析使用SmartPLS:一步一步的商业研究指南
使用偏最小二乘路径模型(PLSPM)的多组分析(MGA)是评估研究模型中多个关系的适度性的有效方法。这篇社论解释了MGA的重要性和使用,特别是当一项研究试图理解商业研究中的异质性效应(即跨文化或性别差异)时。我们提供使用SmartPLS 3.3.2执行MGA的分步指南,包括使用复合模型的测量不变性(MICOM)程序评估测量不变性。我们相信这篇社论将使研究人员和研究生能够自信地进行MGA,从数据中得出有意义的见解,并检查被调查群体之间的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Asian Journal of Business Research
Asian Journal of Business Research Social Sciences-Political Science and International Relations
CiteScore
2.40
自引率
0.00%
发文量
8
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