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



Book 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 chapters on nonrecursive models of multiple-sample SEM in Part III, including extensive explanations of latent growth models (Chapter 10) and multilevel SEM (Chapter 13).



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.

FROM THE PUBLISHER

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.

SYNOPSIS