Principles and Practice of Structural Equation Modeling, Fifth Edition

The fifth edition of the most comprehensive and accessible text on structural equation modeling (SEM) covers all three approaches (covariance-based SEM, nonparametric SEM, and composite SEM) and emphasizes freely available software tools. It includes new chapters on composite SEM, small sample SEM, mediation analysis, reporting standards, piecewise SEM, and multiple-group SEM. The text features self-tests, further reading suggestions, troublesome examples, and a website with data, syntax, and output files for all examples.

Format: Paperback / softback
Length: 494 pages
Publication date: 14 June 2023
Publisher: Guilford Publications

The fifth edition of the most comprehensive and accessible text on structural equation modeling (SEM) has been significantly revised. It now covers all three approaches to SEM: covariance-based SEM, nonparametric SEM (Pearls structural causal model), and composite SEM (partial least squares path modeling). With an increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM, including what to know, best practices, and pitfalls to avoid.

The book includes exercises with answers, rules to remember, topic boxes, and new self-tests on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor.

New to this edition:
* Chapters on composite SEM, also called partial least squares path modeling or variance-based SEM.
* Conducting SEM analyses in small samples.
* Recent developments in mediation analysis.
* Coverage of new reporting standards for SEM analyses.
* Piecewise SEM, also called confirmatory path analysis.
* Comparing alternative models fitted to the same data.
* Issues in multiple-group SEM.
* Extended tutorials on techniques for dealing with missing data in SEM and instrumental variable methods to deal with confounding of target causal effects.

Pedagogical Features:
* New self-tests of knowledge about background topics (significance testing, regression, and psychometrics) with scoring key and online primers.
* End-of-chapter suggestions for further reading and exercises with answers.
* Troublesome examples from real data, with guidance for handling typical problems in analyses.
* Topic boxes on special issues, such as the use of SEM in clinical research, the analysis of longitudinal data, and the application of SEM to educational research.

In conclusion, the fifth edition of this text is an essential resource for anyone interested in conducting SEM analyses. It provides a comprehensive and up-to-date coverage of all three approaches to SEM, with an emphasis on practical applications and the use of freely available software tools. The book's pedagogical features, such as self-tests, end-of-chapter suggestions, and real-world examples, make it an invaluable tool for both students and practitioners in the field.

Weight: 834g
Dimension: 188 x 237 x 29 (mm)
ISBN-13: 9781462551910
Edition number: 5 ed