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.
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Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chapters
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
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Produktdetaljer

ISBN
9781412916240
Publisert
2008-09-04
Utgave
2. utgave
Utgiver
SAGE Publications Inc
Vekt
480 gr
Høyde
228 mm
Bredde
152 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
272

Forfatter

Biografisk notat

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.