Structural Equation Modeling
Foundations and Extensions
1st Edition
Published on 24. November 2000
Book
Hardback
240 pages
978-0-7619-1407-5 (ISBN)
Description
By focusing on how structural equation modeling (SEM) can illuminate what we know abou social and behavioral phenomena rather than on the "ins and outs" of the various SEM programs (eg., AMOS, LISREL, EQS), David Kaplan demonstrates to the reader the utility of SEM, its limitations, and the statistical underpinnings of the method. The book begins with an explanation of confirmatory factor analysis and path analysis, and how these two techniques can be combined for SEM.
Reviews / Votes
"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 "...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." -- Jerry Welkenhuysen-Gybels * Statistical Methods in Medical Research *More details
Series
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 152 mm
Weight
451 gr
ISBN-13
978-0-7619-1407-5 (9780761914075)
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Schweitzer Classification
Other editions
New editions
Book
09/2008
2nd Edition
SAGE Publications Inc
€184.90
Shipment within 10-20 days
Person
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.
Content
Structural Equation Modeling
An Introduction to Its History and Current Practice
Path Analysis
Modeling Systems of Structural Equations among Observed Variables
Factor Analysis
Structural Equation Models in Single and Multiple Groups
Statistical Assumptions Underlying Structural Equation Modeling
Evaluating and Modifying Structural Equation Models
Multilevel Structural Equation Modeling
Latent Growth Curve Modeling
Epilogue
Toward a New Approach to Structural Equation Modeling and Directions for Future Research References
An Introduction to Its History and Current Practice
Path Analysis
Modeling Systems of Structural Equations among Observed Variables
Factor Analysis
Structural Equation Models in Single and Multiple Groups
Statistical Assumptions Underlying Structural Equation Modeling
Evaluating and Modifying Structural Equation Models
Multilevel Structural Equation Modeling
Latent Growth Curve Modeling
Epilogue
Toward a New Approach to Structural Equation Modeling and Directions for Future Research References