Principles and Practice of Structural Equation Modeling

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Guilford Press, 1998 - Social Science - 354 pages
5 Reviews
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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Clear introduction on SEM

User Review  - Researcher - Tesco

This is a relatively easy read, and with some basic understanding of regression, the concepts are easy to grasp. The author also makes an effort to point out some of the traps that one can get into when using SEM. Read full review

Review: Principles and Practice of Structural Equation Modeling (Methodology in the Social Sciences)

User Review  - Jared - Goodreads

Yeah that's right. I'm actually really excited to re-read this book. This guy is a great writer when it comes to this stuff. I think this is a wonderfully powerful tool for gaining insight into how ... Read full review

About the author (1998)

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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