Average Reviews:
(More customer reviews)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.
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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.
Buy cheap Structural Equation Modeling: Foundations and Extensions (Advanced Quantitative Techniques in the Social Sciences) now.
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