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

Rex B. Kline PhD (Author)
4.6 out of 5 stars  See all reviews (11 customer reviews)


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Principles and Practice of Structural Equation Modeling, Third Edition (Methodology In The Social Sciences) Principles and Practice of Structural Equation Modeling, Third Edition (Methodology In The Social Sciences) 4.9 out of 5 stars (7)
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Book Description

September 29, 2004 1572306904 978-1572306905 Second Edition
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.


Editorial Reviews

Review

A good book has gotten much better. Since the first edition appeared in 1998, Kline's book has been the only one I assign in my SEM course. It easily surpassed its competitors in clarity and accessibility, without sacrificing accuracy and completeness. This new edition is a major upgrade, with substantial reworking of the original chapters to add depth and clarity, as well as new chapters on topics like latent growth curve modeling and hierarchical linear modeling./m-/Paul D. Allison, Department of Sociology, University of Pennsylvania

"An outstanding introduction to SEM, geared toward the beginner in this area. The relaxed, conversational writing style makes access to this complex material pain-free and easy. The book strikes a perfect balance between easy reading and the presentation of technical detail and technical terms. I recommend this book strongly, and I will use it the next time I teach SEM."-Alexander von Eye, Department of Psychology, Michigan State University

"An excellent choice....The book strikes a nice balance between the technical and practical aspects of SEM. A particular strength is that the examples include correlations and standard deviations, so that readers can execute the examples using various SEM software."-Fred E. Markowitz, Department of Sociology, Northern Illinois University

"An extremely important resource for both the theoretical and applied researcher interested in SEM. Dr. Kline's work contains information that is insightful, accurate, and practical. I recommend this book as both a text for graduate-level seminars and a technical resource for research."-Larry Price, College of Education, Texas State University-San Marcos

"The approach to SEM is wonderful. Difficult concepts and issues are explained in a way
that is accessible to those who are not trained as quantitative methodologists. The blend
of conceptual and procedural explanations is generally very good, and the discussions and explanations are technically accurate."-Xitao Fan, Curry School of Education, University of Virginia

About the Author

Rex B. Kline, PhD, is an associate professor of Psychology at Concordia University in Montréal. Since earning a PhD in psychology, his areas of research and writing have included the psychometric evaluation of cognitive abilities, child clinical assessment, structural equation modeling, and usability engineering in computer science. Dr. Kline has published three books and more than 40 articles in research journals and is the coauthor of a teacher-informant rating scale for referred children.

Product Details

  • Paperback: 366 pages
  • Publisher: The Guilford Press; Second Edition edition (September 29, 2004)
  • Language: English
  • ISBN-10: 1572306904
  • ISBN-13: 978-1572306905
  • Product Dimensions: 8.9 x 5.9 x 1.1 inches
  • Shipping Weight: 1.1 pounds
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #477,133 in Books (See Top 100 in Books)

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Customer Reviews

11 Reviews
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Average Customer Review
4.6 out of 5 stars (11 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

13 of 13 people found the following review helpful:
4.0 out of 5 stars Excellent introduction to SEM, January 9, 2007
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This review is from: Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences) (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.
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5 of 5 people found the following review helpful:
5.0 out of 5 stars great book., February 9, 2008
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This review is from: Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences) (Paperback)
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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5 of 5 people found the following review helpful:
5.0 out of 5 stars A superb Introduction to SEM, October 26, 2007
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This review is from: Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences) (Paperback)
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.
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