Longitudinal Structural Equation Modeling

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This comprehensive resource reviews structural equation modeling (SEM) strategies for longitudinal data. The author explores the connections between SEM and other longitudinal techniques to help readers better understand when to choose one analysis over another. Accessibly written, examples from the social sciences and results interpretations are provided throughout. The emphasis is on concepts and practical guidance for applied research. Each chapter includes examples of each model type, key terms defined in the glossary, figures with discussions of model specification and implementation issues, comments that provide practical guidance, model extensions, and recommended readings.