Designed for students and researchers without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in the social sciences. This is an accessible volume which covers introductory techniques, including path analysis and confirmatory factor analysis, and provides an overview of more advanced methods, such as the evaluation of nonlinear effects, the analysis of means in covariance structure models, and latent growth models for longitudinal data. Providing examples from various disciplines to illustrate all aspects of SEM, the author offers clear instructions on the preparation and screening of data, common mistakes to avoid, and features of widely used software programs (Amos, EQS, and LISREL). Readers will acquire the skills necessary to begin to use SEM in their own research and to interpret and critique the use of the method by others.
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Book Description
Editorial Reviews
Review
"This book offers a superb treatment of structural equation modeling. It is really the clearest and most accessible introduction that I have encountered and, as such, it should be the leading source on the topic for many years to come. Kline has a remarkable talent for writing clearly about difficult and complex issues and making the logic of modeling clear to the reader. The book has a wise and gentle hand, thoroughly and thoughtfully discussing both the virtues and potential abuses of SEM. I will certainly use it in my classes and recommend it to others." --Charles M. Judd, PhD, Department of Psychology, University of California, Berkeley
"This clear guide provides a user-friendly SEM roadmap for those navigating unfamiliar statistical waters. The book translates abstract and often complex mathematical concepts into plain speech. As such, it will be a welcome resource to those teaching in this area. Both novices and experts will appreciate the logical chapter organization and the useful chapter summaries. Students or professionals seeking to incorporate SEM into their armamentarium of statistical tools will do well to make this book required reading." --Jeffrey P. Bjorck, PhD, Assistant Professor of Psychology, Department of Clinical Psychology, Fuller Theological Seminary, Pasadena, CA
"This clear guide provides a user-friendly SEM roadmap for those navigating unfamiliar statistical waters. The book translates abstract and often complex mathematical concepts into plain speech. As such, it will be a welcome resource to those teaching in this area. Both novices and experts will appreciate the logical chapter organization and the useful chapter summaries. Students or professionals seeking to incorporate SEM into their armamentarium of statistical tools will do well to make this book required reading." --Jeffrey P. Bjorck, PhD, Assistant Professor of Psychology, Department of Clinical Psychology, Fuller Theological Seminary, Pasadena, CA
About the Author
Rex B. Kline, PhD, is an Associate Professor of Psychology and a member of the Clinical Psychology faculty at Concordia University in Montreal. He is trained as a child clinical psychologist and as a methodologist. Much of his research concerns the psychological assessment of children in school or clinical settings.
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Most Helpful Customer Reviews
43 of 43 people found the following review helpful:
4.0 out of 5 stars
Kline makes it simple!,
By Frank J. Elgar (Canada) - See all my reviews
This review is from: Principles and Practice of Structural Equation Modeling (Paperback)
Rex Kline easy writing style will take you through step-by-step in one of the most comprehesive yet accessible introductions to multivariate analysis and structural equation modeling. After outlining the building blocks of SEM (multiple regression, path analysis, and factor analysis), Kline gets the reader ready to tackle popular SEM software with examples for AMOS, LISREL and EQS. There is also a great chapter on what NOT to do with this often misused technique. For a preview, see Kline's article in the Journal of Clinical Psychology (1991), Latent variable path analysis: A beginner's tour guide. This book is an excellent read, and a must have for researchers and statisticians.
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Inside This Book
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First Sentence:
This book is intended to serve as a guide to the principles, assumptions, strengths, limitations, and application of structural equation modeling (SEM) for researchers and students who do not have extensive quantitative backgrounds. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonrecursive path models, unanalyzed associations, two indicators per factor, selected fit indexes, classroom adjustment factor, single observed measure, direct effects among the endogenous, group path analysis, deviance tolerance, other fit indexes, presumed causal effects, unmeasured exogenous, unstandardized estimates, maternity age, disturbance correlations, model trimming, residual path coefficient, derive unique estimates, unstandardized path coefficient, unstandardized variables, univariate skew, measurement error correlations, unstandardized solution, empirical underidentification, valid tracings Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Amos Text, Jöreskog-Sörbom Goodness of Fit Index, Gestalt Closure, Number Recall, Rate of Change, Bentler Comparative Fit Index, Initial Status, Bentler-Bonett Normed Fit Index, Standardized Root Mean Squared Residual, Word Order, Amos Graphics, Easy Build, Kenny Judd, Matrix Analogies, Photo Series, Bentler-Bonett Non-Normed Fit Index, Conventional Medical Model, Lagrange Multipliers, Mother Education, American Psychological Association, Child Externalization, Teacher Parental, Beverly Hills, Thousand Oaks New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This book is intended to serve as a guide to the principles, assumptions, strengths, limitations, and application of structural equation modeling (SEM) for researchers and students who do not have extensive quantitative backgrounds. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonrecursive path models, unanalyzed associations, two indicators per factor, selected fit indexes, classroom adjustment factor, single observed measure, direct effects among the endogenous, group path analysis, deviance tolerance, other fit indexes, presumed causal effects, unmeasured exogenous, unstandardized estimates, maternity age, disturbance correlations, model trimming, residual path coefficient, derive unique estimates, unstandardized path coefficient, unstandardized variables, univariate skew, measurement error correlations, unstandardized solution, empirical underidentification, valid tracings Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Amos Text, Jöreskog-Sörbom Goodness of Fit Index, Gestalt Closure, Number Recall, Rate of Change, Bentler Comparative Fit Index, Initial Status, Bentler-Bonett Normed Fit Index, Standardized Root Mean Squared Residual, Word Order, Amos Graphics, Easy Build, Kenny Judd, Matrix Analogies, Photo Series, Bentler-Bonett Non-Normed Fit Index, Conventional Medical Model, Lagrange Multipliers, Mother Education, American Psychological Association, Child Externalization, Teacher Parental, Beverly Hills, Thousand Oaks New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 13
books:
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31
books
cite this book:
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- Correlation and Causality by David A. Kenny in Front Matter (1), and Front Matter (2)
- Clinical Psychology: Integrating Science and Practice by Arthur Freeman in Back Matter
- The Eleventh Mental Measurements Yearbook (Buros Mental Measurements Yearbooks) (v. 11) by Buros Institute on page 192
- Outlines & Highlights for Social Psychology by Baron & Byrne (Cram101 Textbook Outlines) by Cram101 Textbook Reviews in Back Matter
- Social Psychology: People in Groups by Bertram H. Raven in Back Matter
See all 13 books this book cites
- Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences) by Rex B. Kline PhD in Front Matter (1), and Front Matter (2)
- Emphasizing Distributed Systems, Volume 53 (Advances in Computers) by Marvin Zelkowitz Ph.D. MS BS. on page 318
- Operations Research Proceedings 2003: Selected Papers of the International Conference on Operations Research (OR 2003) (English and German Edition) by Dino Ahr on page 220
- Erwartungsmanagement bei innovativen Kommunikationsdiensten: Eine institutionenökonomische Analyse (German Edition) by Prof. Dr. Markus Voeth in Back Matter
- Clinical Research in Mental Health: A Practical Guide by Gordon J. G. Asmundson on page 148
See all 31 books citing this book
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