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

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



New (26) Used (9) from $36.45

Avg. Customer Rating: 4.5 out of 5 stars 8 reviews
Sales Rank: 68049

Media: Paperback
Edition: Second Edition
Number Of Items: 1
Pages: 366
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:

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

Similar Items:

  • Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
  • A Beginner's Guide to STRUCTURAL EQUATION MODELING, SECOND EDITION (The Inquiry and Pedagogy Across Diverse Contexts Series)
  • Confirmatory Factor Analysis for Applied Research (Methodology In The Social Sciences)
  • Using Multivariate Statistics (5th Edition)
  • A First Course in Structural Equation Modeling

Editorial Reviews:

Product Description
This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.



Customer Reviews:   Read 3 more reviews...

5 out of 5 stars Highly recommended for anyone transitioning from LISREL   August 5, 2008
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
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
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
 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
 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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