Handbook of Structural Equation Modeling, Second Edition

Structural equation modeling (SEM) is a comprehensive resource that covers model selection, bifactor models, item parceling, multitrait–multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. It provides conceptually oriented descriptions, fully explicated analyses, and engaging examples, with 60% new material reflecting a decade's worth of developments.

Format: Hardback
Length: 785 pages
Publication date: 31 March 2023
Publisher: Guilford Publications

The second edition of "Structural Equation Modeling: A Comprehensive Guide" is a comprehensive and updated resource on structural equation modeling (SEM) that has been revised by leading methodologists. This edition encompasses a wide range of topics, including model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more.

The book begins with fundamental SEM topics such as causality, visualization, assumptions, estimation, model fit, and managing missing data. It then delves into major model types that focus on unobserved causes of covariance between observed variables, such as latent variable models, structural equation models with observed variables, and multi-group models. The book also covers more complex and specialized applications, such as SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more.

To enhance the learning experience, each chapter in the second edition provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that showcase modeling possibilities for use with the reader's data. Additionally, the expanded companion website offers full data sets, computer code, and output for many of the chapters, as well as bonus selected chapters from the prior edition.

With 60% new material reflecting a decade's worth of developments in the mechanics and application of SEM, this edition is an invaluable resource for researchers, practitioners, and students in the fields of psychology, sociology, education, health sciences, and other social sciences. It will serve as a valuable guide for those seeking to apply SEM to their research questions and advance their understanding of the underlying principles and techniques of this powerful modeling approach.

Weight: 1436g
Dimension: 194 x 244 x 43 (mm)
ISBN-13: 9781462544646
Edition number: 2 ed