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Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)

Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)

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Author: Rex B. Kline
Publisher: The Guilford Press
Category: Book

List Price: $45.00
Buy New: $36.45
You Save: $8.55 (19%)



New (29) Used (10) from $36.45

Rating: 4.5 out of 5 stars 8 reviews
Sales Rank: 23906

Media: Paperback
Edition: Second Edition
Pages: 366
Number Of Items: 1
Shipping Weight (lbs): 1.1
Dimensions (in): 8.9 x 5.9 x 1.1

ISBN: 1572306904
Dewey Decimal Number: 519.535
EAN: 9781572306905
ASIN: 1572306904

Publication Date: September 29, 2004
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: Inventory subject to prior sale. Expedited orders cannot be sent to PO Box. Sorry, not able to ship to APO, FPO, Alaska, and Hawaii.

Also Available In:

  • Digital - Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)
  • Hardcover - Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)

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Editorial Reviews:

Product Description
The bestselling text that has been so popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) has now been carefully revised to be even more useful.

New to this edition are:
* The first SEM text web page, offering free access to data and program syntax files for many of the research examples in the book, electronic overheads that readers can download and print, and links to other useful sites.
* Separate chapters that review fundamental statistical concepts: one on correlation and regression (providing a foundation for less advanced readers), and another on data preparation and screening.
* More coverage of the relation between measurement models and structural models in Chapter 8, which directly compares both types of models.
* New, separate chapters on nonrecursive models of multiple-sample SEM in Part III, including extensive explanations of latent growth models in Chapter 10 and multilevel SEM in Chapter 13.



Customer Reviews:   Read 3 more reviews...

5 out of 5 stars Highly recommended for anyone transitioning from LISREL   August 5, 2008
William G. McCown, Ph. D. (Louisiana)
AMOS can seem so simple that it is confusing. Where are the obfuscating command lines that we used to love? If you know and loathed another program in the same ilk, you may have problems with the ease of the AMOS graphic interface and command language. If this is the case, then this book is for you.




5 out of 5 stars Excellent Book   July 19, 2008
Crispy (UK)
I am a manager of a team of statisticians that work in Market Research. This book has helped my team of applied statisticians to understand the concepts involved in SEM as the book is very clear and makes few assumptions of the readers' knowledge. Mathematical formulas are kept to a minimum, with any that are shown fully described.

This is not to say the book is just an introductory book for beginners as it has many advanced insights and excellent examples that a more experienced modeller can learn from. It is one of the most read books in our library as the author makes the subject compelling to read and every time it is reread you learn more from it as it works on many levels.

It is an essential book to have on SEM from a conceptual and practical point of view. Though it is not a book for someone wanting to know the mathematics behind creating the models in depth.



4 out of 5 stars This Book is GREAT!   April 13, 2008
PhD Student (Houston, TX, USA)
This Book is Great for anyone doing analysis using SEM. It is a very good source of refference. Its clear and concise.


5 out of 5 stars Learning SEM. This is the book that you need.   February 12, 2008
Laura Andrea Cardona
1 out of 1 found this review helpful

Well...This book is as understandable as statistics can be. You will learn about the advantages of using mathematical models and how they represent reality way better than doing group comparisons. Highly recommended.


5 out of 5 stars great book.   February 9, 2008
David P. Scoville (Provo, UT)
1 out of 1 found this review helpful

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.

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