Structural Equation Modeling

Foundations and Extensions
2. Auflage 2008
ISBN: 978-1-4129-1624-0
Verlag: Sage Publications, Inc

Buch, Englisch, Band 10, 272 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 549 g

Reihe: Advanced Quantitative Techniques in the Social Sciences

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.

Autoren/Hrsg.

Kaplan, David

Kaplan, David W.

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung

Inhaltsverzeichnis

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

Über Autor(innen)

Kaplan, David W.
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.