Description
Understanding Structural Equation Models offers an accessible introduction to SEM, a powerful statistical technique for modeling complex relationships between observed and latent variables. Phillip K. Wood guides readers through the fundamental concepts and practical applications of structural equation modeling in social and behavioral sciences.
This book covers essential topics including path analysis, confirmatory factor analysis, and advanced model specification. Readers will learn how to design, estimate, and evaluate structural equation models using contemporary approaches. The Chapman & Hall/CRC series provides rigorous statistical foundations while maintaining practical applicability for researchers and practitioners.
Ideal for graduate students, researchers, and data analysts, this resource bridges theory and practice in quantitative methodology. The comprehensive coverage enables readers to apply SEM techniques to real-world research problems and interpret complex variable relationships effectively.
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