Structural Equation Models

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The book provides a comprehensive overview of structural equation modeling (SEM) methodologies, emphasizing updates that incorporate new software tools for easier analysis. It particularly focuses on applications in the social sciences, where unobservable concepts are prevalent. Historical context is provided to understand the strengths and weaknesses of various methods. Additionally, it explores emerging path and network approaches, detailing latent variable theory and offering practical guidelines for data preparation and sample size. Reference tables for software and methodologies support research rigor.