Structural Equation Modeling: Foundations and Extensions / Edition 2

by David W. Kaplan

Overview

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face.

Intended Audience

While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.

Product Details

ISBN-13:	9781412916240
Publisher:	SAGE Publications
Publication date:	07/23/2008
Series:	Advanced Quantitative Techniques in the Social Sciences , #10
Edition description:	Second Edition
Pages:	272
Product dimensions:	6.20(w) x 9.10(h) x 0.80(d)

About the Author

David Kaplan received his Ph.D. in Education from UCLA in 1987. He is now a Professor of Education and (by courtesy) Psychology at the University of Delaware. His research interests are in the development and application of statistical models to problems in educational evaluation and policy analysis. His current program of research concerns the development of dynamic latent continuous and categorical variable models for studying the diffusion of educational innovations.

Table of Contents

Preface to the Second Edition
1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables
2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables
3. Factor Analysis
4. Structural Equation Models in Single and Multiple Groups
5. Statistical Assumptions Underlying Structural Equation Modeling
6. Evaluating and Modifying Structural Equation Models
7. Multilevel Structural Equation Modeling
8. Latent Growth Curve Modeling
9. Structural Models for Categorical and Continuous Latent Variables
10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling

Editorial Reviews

"...the book is a welcome addition to the literature on structural equation modelling. The book is one of the first to provide an overview of these recent developments. Another important merit of this book is its summary of simulation study results on several aspects of the structural equation model, including the earlier mentioned new developments. As such, it gathers a lot of useful information that otherwise would have to be obtained by persuing through numerous articles in several scientific journals. "

Statistical Methods in Medical Research - Jerry Welkenhuysen-Gybels

"This is a thorough and sophisticated treatment of structural equation modeling (SEM). . . . The author clearly is knowledgeable and has put much thought into the pros and cons of standard applications of SEM. The chapters on multilevel and growth modeling are an excellent feature of the book."

Rick H. Hoyle