Principles and Practice of Structural Equation Modeling (Methodology in the Social Sciences Series), 5th Edition (Original Publisher)

Key Features and Highlights:

• Foundational and Advanced SEM Concepts: Covers the entire SEM process—from model specification to interpretation—with clarity and depth.
• User-Friendly Guidance: Includes annotated examples, syntax for major SEM software packages (such as Mplus, LISREL, EQS, and Amos), and tips for avoiding common pitfalls.
• Comprehensive Updates: The 2023 edition reflects the latest methodological developments, including advances in estimation, measurement invariance, and model fit evaluation.
• Educational Utility: Ideal for both classroom instruction and self-guided learning, with clearly organized content and practical exercises.
• Part of a Trusted Series: Published as part of Guilford’s Methodology in the Social Sciences, this title upholds high scholarly standards and widespread academic use.

Includes Core Chapters on:

• Measurement models and confirmatory factor analysis (CFA)
• Structural models and path analysis
• Model evaluation and modification
• Multigroup and longitudinal SEM
• Estimation methods and assumptions
• Software-specific implementation guidance
  (Note: Specific chapter titles not provided in the book details)

About the Author:
The author is an internationally respected statistician and professor, widely recognized for advancing the teaching and application of SEM in behavioral and social sciences. With decades of experience, his work continues to influence both theoretical development and applied research methodology.

File Format, Size, and Compatibility:

• File Format: Available in PDF
• File Size: Approximately 20 MB
• Language: English
• Device Compatibility: Optimized for reading on all devices, including Windows and Mac computers, iOS and Android tablets and smartphones, and major e-readers (Kindle, Nook, Kobo, etc.)

Sample FAQs:

Q1: Is prior knowledge of SEM required to use this book effectively?
A1: No. While a basic understanding of statistical concepts is helpful, the book is designed to support both beginners and experienced users with its step-by-step approach, practical examples, and accessible language.

Q2: Does the book include examples using real data and statistical software?
A2: Yes. The book features annotated examples using real datasets, along with syntax and guidance for major SEM software programs like Mplus, LISREL, Amos, and EQS.