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Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences) - Hardcover

 
9780761914075: Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences)
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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.

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Review:

"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 2005-01-01)
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.

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  • PublisherSAGE Publications, Inc
  • Publication date2000
  • ISBN 10 0761914072
  • ISBN 13 9780761914075
  • BindingHardcover
  • Edition number1
  • Number of pages240
  • Rating

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