Structural equation modeling (SEM) is a statistical tool used in various fields to test relationships between observed and hidden variables. SEM combines path analysis and data reduction techniques to create models. There are two main types of SEM: factor-based and component-based. In factor-based SEM, a common factor represents a hidden variable that influences observed variables. In component-based SEM, a weighted composite of observed variables represents a hidden variable.