Multiple-Group Analysis in Structural Equation Modeling

Multiple-group analysis (MGA) is a statistical technique that allows researchers to investigate differences across subpopulations, or demographic segments, by enabling specification of <a href="https://community.jmp.com/t5/JMPer-Cable/Structural-Equation-Modeling-The-arrival-of-a-powerful-new/ba-p/230440" rel="noopener ugc nofollow" target="_blank">structural equations models</a> (SEMs) with group-specific estimates or with equal estimates across groups. Differences in means, regressions, loadings, variances, and covariances of variables can be investigated using MGA, as all these parameters can be modeled in SEM. Thus, even though other modeling techniques (e.g., analysis of variance or regression with interaction effects) make it possible to investigate the role of a grouping variable, those techniques are less flexible than MGA in SEM. <a href="https://towardsdatascience.com/multiple-group-analysis-in-structural-equation-modeling-2b2c7eef329">Read More</a>