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Jason T. Newsom

Longitudinal Structural Equation Modeling: A Comprehensive Introduction

Longitudinal Structural Equation Modeling: A Comprehensive Introduction

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  • More about Longitudinal Structural Equation Modeling: A Comprehensive Introduction


Longitudinal Structural Equation Modeling is a comprehensive resource that reviews SEM strategies for longitudinal data, exploring models, connections, and practical guidance for applied research. It is ideal for graduate courses in behavioral, social, and health sciences, with new developments, a chapter on growth mixture modeling, and examples.

Format: Paperback / softback
Length: 502 pages
Publication date: 12 September 2023
Publisher: Taylor & Francis Ltd


Longitudinal Structural Equation Modeling is a comprehensive resource that delves into the realm of structural equation modeling (SEM) for longitudinal data, aiding readers in discerning the most suitable modeling options for their hypotheses. This accessible and well-written book explores a diverse array of models, ranging from basic to advanced, while providing a solid foundation in statistical and conceptual principles that underpin these analyses. By examining the interconnections between these models, the book elucidates how SEM relates to other longitudinal data techniques and guides researchers in selecting the most appropriate analysis for their research objectives.

Rather than delving into mathematical proofs, this text prioritizes practical guidance and concepts for applied research. New terms are introduced and defined in the glossary, while figures accompany each model, offering detailed discussions on model specification and implementation issues. Each chapter includes examples of various model types, descriptions of model extensions, insightful comment sections, and recommended readings to further enhance the reader's understanding.

In this extensively revised edition, new and updated material has been incorporated, encompassing numerous recent developments in the field. A dedicated chapter on growth mixture modeling has been added, along with fresh examples to illustrate the application of these models. This edition is particularly suited for advanced courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis, taught in the behavioral, social, and health sciences. Its comprehensive nature and up-to-date content will continue to captivate researchers in these fields.


Dimension: 254 x 178 (mm)
ISBN-13: 9781032202860
Edition number: 2 ed

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