SEM

Structural Equation Modeling (SEM) is a statistical technique that allows researchers to analyze complex relationships between multiple variables simultaneously. It combines elements of factor analysis and multiple regression to test hypotheses about how different variables influence each other, including indirect effects through mediators. SEM helps in understanding both the direct and indirect pathways within a network of variables, providing a comprehensive picture of the underlying structure. It's widely used in social sciences, marketing, and psychology to validate theoretical models and explore the connections among observed data and latent (unobservable) factors.