SEM (Structural Equation Model)

Structural Equation Modeling (SEM) is a statistical method used to analyze complex relationships among variables. It combines multiple regression analysis and factor analysis to examine how different factors influence each other simultaneously. Essentially, SEM helps researchers test theoretical models by assessing direct and indirect effects, accounting for measurement errors. It’s widely used in social sciences, marketing, and psychology to understand how various factors—like attitudes, behaviors, or perceptions—interconnect within a system. This approach provides a comprehensive view of the underlying structure and relationships in the data, aiding in theory development and validation.