Structural Equations with Latent Variables (SEM) is a statistical technique that allows researchers to model complex relationships between observed (measured) variables and latent (unobserved) variables. SEM combines elements of factor analysis and multiple regression analysis to provide a framework for understanding the relationships among multiple variables. ### Key Components 1. **Latent Variables**: These are variables that cannot be directly measured but are inferred from other observed variables.
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