Structural Equation Modeling (SEM) is a comprehensive statistical approach used to test hypotheses about relationships among observed and latent variables. It combines aspects of factor analysis and multiple regression, allowing for the analysis of complex causal models with multiple dependent and independent variables simultaneously.