Structural Equation Modeling (SEM)

Structural Equation Modeling (SEM) is a statistical method used to examine complex relationships between variables, often involving both direct and indirect influences. It allows researchers to test hypotheses about how different factors, such as beliefs, behaviors, or traits, interact within a theoretical framework. SEM combines elements of multiple regression and factor analysis to analyze multiple equations simultaneously, providing a comprehensive view of the underlying structure of data. This helps in understanding how various variables are interconnected and whether the proposed model fits the observed data well.