Principles And Practice Of Structural Equation Modeling
Kline, Rex B.
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BOOK SUMMARY
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 an
BOOK SYNOPSIS
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. Special features include a Web page offering 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.
AUTHOR BIO
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.
BOOK EXCERPTS
06
BOOK REVIEWS
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
"Perfectly addresses the needs of social scientists like me without formal training in mathematical statistics....Succeeds in conveying the conceptual complexity of SEM without sacrificing the reader's understanding of the ramifications of the model's assumptions....Can be read by any graduate in psychology or even by keen undergraduates interested in exploring new vistas. Yet it will also constitute a surprisingly good read for experienced researchers in search of some refreshing insights in their favorite techniques....A real tour de force....Succeeds in reconciling comprehensiveness and comprehensibility."--The Psychologist
"Structural equation modeling is an important tool in research in the social sciences, and this updated edition keeps pace with the newest methodologies, including providing a SEM-text web page with free access to data and program files for the examples here."--SciTech Book News
"...the greatest strength of this book is Kline's ability to present materials in an engaging, accessible manner. In nearly all situations, Kline is able to describe even the more complex material in practical, (relatively) jargon-free terms....In this regard, this book is unparalleled, and I suspect that this strength alone will make this the book of choice for many who are eager to learn SEM but who do not possess extensive quantitative backgrounds....it provides better treatment of some of the more advanced topics....This book represents a well-written introduction to SEM that will be accessible to readers with minimal quantitative background....This book could be readily adapted to courses for students with a basic understanding of correlation and regression or as part of a course for more advanced students."-- APA PsycCRITIQUES
"...Perfectly addresses the need of social scientists like me without formal training in mathematical statistics....the book is rich in examples from different fields....It can be read by any graduate [student] in psychology or even by keen undergraduates interested in exploring new vistas....it will also constitute a surprisingly good read for experienced researchers in search of some refreshing insights in their favourite techniques....a real tour de force."--The Psychologist
"This wonderfully written book is an impressive introduction to structural equation models (SEM) containing a sharp mix of expert analysis and observations....Contains important resources for both theoretical and applied researchers interested in SEMs...appropriate as a text for graduate students and a reference for researchers, providing both audiences with valuable insight into the subject matter...A well-written book that will be useful for graduate students and researchers."--Journal of the American Statistical Association
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MORE BOOK INFO
ISBN: 1572306904
ISBN(13-digit): 9781572306905
Copyright: 2004
Dewey Decimal: 519.5/35
Library of Congress: 2004019784
Book Publisher: Guilford Pubn
Language: ENG
No. of Pages: 366
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