Structural Equation Modeling (SEM) is a method used in psychology to study relationships among hidden factors that can't be directly measured, like intelligence or motivation. It combines regression and factor analysis to predict outcomes based on multiple factors. SEM allows for hidden factors to be included in the analysis, as well as relationships between different variables. This technique helps researchers understand complex relationships between different aspects of human behavior and mental health.