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"Wise social scientists will make a beeline for the 2nd edition of David Kaplan's classic text. An essential read for students and professionals who want to move beyond cookbook presentations with checklists towards deeper understanding and thoughtful application."
―Judith D. Singer, Harvard University
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.
Thoroughly revised to address recent developments, this new edition includes:
- The foundations of SEM, including path analysis and factor analysis.
- Traditional SEM for continuous latent variables, including latent growth curve modeling for continuous growth factors, and issues in testing assumptions of SEM.
- SEM for categorical latent variables, including latent class analysis, Markov models (latent and mixed latent), and growth mixture modeling.
- Philosophical issues in the practice of SEM, including the problem of causal inference.
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.
- Sales Rank: #1122488 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2008-07-23
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .80" w x 6.20" l, 1.10 pounds
- Binding: Hardcover
- 272 pages
- Used Book in Good Condition
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.
Most helpful customer reviews
9 of 10 people found the following review helpful.
A good reference, once you know something about SEM
By Ivan
As a student of Dr. Kaplan's, we used this book as a way to remind us what the loads of greek symbols scrawled across our notes actually meant. While not written to be used with any specific program, I find the book to be a great reference when I haven't used SEM for a while and need to be reminded of some of its nuances. If you are trying to learn SEM, I suggest you get a book specifically written for the program you plan on using first. Once you understand the basics, this book comes in handy. Also useful if you have a burning desire to understand the barebones behind what SEM is and the math involved.
2 of 3 people found the following review helpful.
halley
By Lang
Not helpful at all. The textbook just simply throws tons of mathematical equetions without any good explanation (at least not work for me). This complexity only makes all the stuff intangible. Don't waste your money on this book.
8 of 13 people found the following review helpful.
exposition but not explanation
By R. Kocer
This book is almost useless if you don't know the mathematics and logic of structural equation modelling. Tragically if you know the mathematics and logic of structural equation modelling and seeking a deeper discussion this book would not help you either. Therefore it is hard to understand the target public and purpose of the author. In fact this book is a good application of a particular (and annoying) formula for pseudo-writing about mathematical concepts: whenever there is a need for rigour point out a reference, talk about concepts without any depth and without appealing to intuition and present computer outputs instead of solutions.
You may wish to have this (kind of) book only if you want to have a kind of tourist guide for the realm of structural equation modelling.
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