Structural Equation Modeling (SEM) is a sophisticated statistical methodology for analyzing complex relationships between observed and Latent Variables. It enables researchers to test hypothesized causal pathways and model direct and indirect effects within a single framework. SEM integrates concepts from Factor Analysis and Regression to evaluate intricate theoretical models with data.