Structural Equation Models

Structural Equation Models (SEMs) are statistical tools used to analyze complex relationships among variables. They help researchers understand how different factors influence each other, both directly and indirectly. For example, SEM can be used to explore how education affects job satisfaction and, in turn, overall happiness. By creating a visual model, researchers can test hypotheses about these connections and see how well the data fits the proposed relationships. SEM provides a more detailed picture than simpler methods, allowing for a deeper understanding of the patterns and influences within the data.