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“Every theoretician, methodologist, and user of SEM will find expert overviews of topics relevant to their work in this essential volume on all facets of SEM. Selected chapters can provide great ancillary reading in an introductory SEM course. My congratulations to Hoyle and his superb contributors!”

—Peter M. Bentler, PhD, Departments of Psychology and Statistics, University of California, Los Angeles

“This cutting-edge book is an exceptionally ambitious scholarly masterpiece. Broad in scope, the many self-contained chapters cover the basics and extend SEM to the four corners of statistical analysis. This is a crucial contribution to the literature for behavioral and social scientists, applied statisticians and econometricians, and researchers in the business, education, and health disciplines.”

—Richard P. Bagozzi, PhD, Ross School of Business, University of Michigan

“An absolutely remarkable book. It spans every conceivable topic—from history to fundamentals to the most advanced topics under development—and brings together the leading scientists currently working in statistical design and analysis. The chapters are technically rigorous yet accessible to a broad audience. This is a great reference for all who are interested in SEM, whether novices or seasoned professionals.”

—Patrick J. Curran, PhD, Department of Psychology, University of North Carolina at Chapel Hill

“An exceptionally useful and comprehensive resource, the Handbook of Structural Equation Modeling covers all facets of this flexible approach to data analysis. Accessible to analysts in numerous scientific fields, it begins with foundational materials on model formulation and representation, continuing through estimation, assessment, and interpretation. With due attention to conceptual issues and matters of implementation alike, this handbook strikes an excellent balance between fundamentals, extensions, applications, and current innovations.”

—Peter V. Marsden, Edith and Benjamin Geisinger Professor of Sociology, Harvard College Professor, and Dean of Social Science, Harvard University

“The impressive author list reads like a 'who's who' in SEM—and they cover all the major (and most of the minor) issues in the field. I highly recommend this handbook to researchers using SEM as the next book they need after reading one of the introductory texts. I like the hands-on approach in many of the chapters; in my view, there is no such thing as a superfluous example.”

—Joop J. Hox, Department of Methodology and Statistics, Utrecht University, The Netherlands

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Rick H. Hoyle

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