Longitudinal Structural Equation Modeling (Multivariate Applications Series)

Name: Longitudinal Structural Equation Modeling (Multivariate Applications Series)
Price: 89.95 USD
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$89.95

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Book Synopsis:

Longitudinal Structural Equation Modeling is a comprehensive resource that reviews structural equation modeling (SEM) strategies for longitudinal data to help readers determine which modeling options are available for which hypotheses. This accessibly written book explores a range of models, from basic to sophisticated, including the statistical and conceptual underpinnings that are the building blocks of the analyses. By exploring connections between models, it demonstrates how SEM is related to other longitudinal data techniques and shows when to choose one analysis over another. Newsom emphasizes concepts and practical guidance for applied research rather than focusing on mathematical proofs, and new terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues and each chapter also includes examples of each model type, descriptions of model extensions, comment sections that provide practical guidance, and recommended readings.

Expanded with new and updated material, this edition includes many recent developments, a new chapter on growth mixture modeling, and new examples. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this new edition will continue to appeal to researchers in these fields.

Details

Unlock the full potential of your longitudinal data with Longitudinal Structural Equation Modeling (Multivariate Applications Series). Our comprehensive resource equips you with the knowledge and strategies to employ the power of structural equation modeling (SEM) for analyzing longitudinal data. Seamlessly navigate through different modeling options to uncover the insights you need to propel your research forward.

Don't settle for basic analyses when you can explore sophisticated models that dig deeper into the statistical and conceptual underpinnings of your data. Longitudinal Structural Equation Modeling goes beyond mathematical proofs to provide you with practical guidance and real-world applications. We prioritize concepts and step-by-step implementation, ensuring you have the tools to conduct applied research with confidence.

Forget the confusion of choosing the right analysis for your longitudinal data. Longitudinal Structural Equation Modeling showcases the connections between different models, helping you make informed decisions. Our expert author, Newsom, expertly guides you through model specification and implementation, ensuring you can fully harness the potential of each analysis type.

We've expanded this edition with new and updated material, including a dedicated chapter on growth mixture modeling, a cutting-edge technique for extracting hidden patterns in your data. With new examples and recommended readings, you'll stay at the forefront of the latest developments in longitudinal data analysis. Perfect for graduate courses and researchers in the behavioral, social, and health sciences, Longitudinal Structural Equation Modeling is the essential companion for anyone seeking to unlock the full potential of their longitudinal data.

Ready to take your research to new heights? Explore the possibilities of Longitudinal Structural Equation Modeling today with our limited-time offer. Click here to grab your copy now!

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