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Principles And Practices Of Structural Equation Modelling (Methodology in the Social Sciences) Paperback – 6 Jul 1998


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Review

"This book offers a superb treatment of structural equation modeling. It is really the clearest and most accessible introduction that I have encountered and, as such, it should be the leading source on the topic for many years to come. Kline has a remarkable talent for writing clearly about difficult and complex issues and making the logic of modeling clear to the reader. The book has a wise and gentle hand, thoroughly and thoughtfully discussing both the virtues and potential abuses of SEM. I will certainly use it in my classes and recommend it to others." --Charles M. Judd, PhD, Department of Psychology, University of California, Berkeley

"This clear guide provides a user-friendly SEM roadmap for those navigating unfamiliar statistical waters. The book translates abstract and often complex mathematical concepts into plain speech. As such, it will be a welcome resource to those teaching in this area. Both novices and experts will appreciate the logical chapter organization and the useful chapter summaries. Students or professionals seeking to incorporate SEM into their armamentarium of statistical tools will do well to make this book required reading." --Jeffrey P. Bjorck, PhD, Assistant Professor of Psychology, Department of Clinical Psychology, Fuller Theological Seminary, Pasadena, CA

About the Author

Rex B. Kline, PhD, is an Associate Professor of Psychology and a member of the Clinical Psychology faculty at Concordia University in Montreal. He is trained as a child clinical psychologist and as a methodologist. Much of his research concerns the psychological assessment of children in school or clinical settings.


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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 4.5 out of 5 stars 17 reviews
43 of 43 people found the following review helpful
4.0 out of 5 stars Kline makes it simple! 12 Jan. 2000
By Frank J. Elgar - Published on Amazon.com
Format: Paperback
Rex Kline easy writing style will take you through step-by-step in one of the most comprehesive yet accessible introductions to multivariate analysis and structural equation modeling. After outlining the building blocks of SEM (multiple regression, path analysis, and factor analysis), Kline gets the reader ready to tackle popular SEM software with examples for AMOS, LISREL and EQS. There is also a great chapter on what NOT to do with this often misused technique. For a preview, see Kline's article in the Journal of Clinical Psychology (1991), Latent variable path analysis: A beginner's tour guide. This book is an excellent read, and a must have for researchers and statisticians.
13 of 13 people found the following review helpful
4.0 out of 5 stars Excellent introduction to SEM 9 Jan. 2007
By JohnW - Published on Amazon.com
Format: Paperback
Kline's book provides a very readable introduction to and explanation of structural equation modeling. The book does not include statistical proofs, so it would not serve well as an advanced text. But if you are looking for a book that explains what SEM is and how it fits within the larger framework of inferential statistics, I recommend it.
6 of 6 people found the following review helpful
5.0 out of 5 stars A superb Introduction to SEM 27 Oct. 2007
By Serkan Dolma - Published on Amazon.com
Format: Paperback Verified Purchase
This one should be the first book you will get if your first concern is to understand SEM rather than to jump into the practice and learn to use SEM Software without "wasting(!)time on learning the basics. Accompanied by a software-specific book would compose the best bundle for a good start.
A final note: I suggest you not skip the second and the third chapters which review the basic statistical concepts.
5 of 5 people found the following review helpful
5.0 out of 5 stars great book. 9 Feb. 2008
By David P. Scoville - Published on Amazon.com
Format: Paperback Verified Purchase
Great book for those wanting to learn Structural Equation Modeling (SEM). From a beginners point-of-view I've found it helpful in integrating regression with SEM models.
3 of 3 people found the following review helpful
4.0 out of 5 stars SEM made easier 8 Feb. 2008
By J. Chonody - Published on Amazon.com
Format: Paperback
Straightforward and easy to read are not descriptors often associated with statistic textbooks, but Kline delivers it up. He included an excellent review chapter on basic principles before launching into the logistics of path analysis, confirmatory factor analysis and other procedures of the SEM family. The interpretation sections are pragmatic and the examples used to illustrate the methods are intuitative and effortlessly followed.
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