Structural Equation Models

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The book offers a comprehensive overview of structural equation modeling (SEM) methodologies, highlighting recent advancements in software that simplify analysis. It emphasizes applications in social sciences, where unobservable concepts are crucial, and provides historical context to understand the strengths and weaknesses of various methods. Additionally, it explores emerging path and network approaches that enhance SEM. Key topics include latent variable theory, data preparation, sample size calculations, and guidelines for handling Likert scale data, supported by useful tables for research reference.