Navigating Structural Equation Modeling

This chapter explores the intricacies of using full information systems in statistical modeling, focusing on the relationship between measurement errors and structural inferences. Through engaging analogies and detailed discussion, it introduces the Structural After Measurement (SAM) approach and emphasizes the importance of accurate measurement and structural model interpretation. The chapter also addresses the complexities of confirmatory factor analysis within larger models, underscoring the significance of clear modeling practices to enhance data accuracy and analysis.