Structural Equation Modeling

Foundations and Extensions

AvDavid W. Kaplan

Inbunden, Engelska, 2008

Del 10 i serien Advanced Quantitative Techniques in the Social Sciences

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2008-09-04
Mått:152 x 228 x 18 mm
Vikt:480 g
Format:Inbunden
Språk:Engelska
Serie:Advanced Quantitative Techniques in the Social Sciences
Antal sidor:272
Upplaga:2
Förlag:SAGE Publications
ISBN:9781412916240

Utforska kategorier

Sociologi inom Samhälle och politik

Mer om författaren

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.

Innehållsförteckning

Preface to the Second Edition1. Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables2. Path Analysis: Modeling Systems of Structural Equations Among Observed Variables3. Factor Analysis4. Structural Equation Models in Single and Multiple Groups5. Statistical Assumptions Underlying Structural Equation Modeling6. Evaluating and Modifying Structural Equation Models7. Multilevel Structural Equation Modeling8. Latent Growth Curve Modeling9. Structural Models for Categorical and Continuous Latent Variables10. Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling