visión de conjunto:Críticas 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 PhD Department of Methodology and Statistics Utrecht University The Netherlands 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 PhD Edith and Benjamin Geisinger Professor of Sociology Harvard College Professor and Dean of Social Science Harvard University 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 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 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 AngelesThe Handbook includes 40 chapters covering the full range of current topics by an outstanding set of authors. It serves as an excellent textbook for classes in SEM that go beyond the basics and cover more advanced topics or as a sourcebook for applied researchers.--Stephen G. West PhD Department of Psychology Arizona State University Reseña del editor The first comprehensive structural equation modeling (SEM) handbook this accessible volume offers broad and deep coverage of both the mechanics of SEM and specific SEM strategies and applications. The editor contributors and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings from assumptions to model modifications; steps in implementation from data preparation through writing the SEM report; and basic and advanced applications including new and emerging topics in SEM such as intensive longitudinal assessments dyadic data brain imaging and genotyping. Each chapter provides conceptually oriented descriptions fully explicated analyses and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website allowing readers to try their hands at reproducing the authors' results. Biografía del autor Rick H. Hoyle is Professor of Psychology and Neuroscience at Duke University where he serves as Associate Director of the Center for Child and Family Policy and Director of the Methodology and Statistics Core in the Transdisciplinary Prevention Research Center. He is a Fellow of the Association for Psychological Science the American Psychological Association and the Society of Experimental Social Psychology. He has written extensively on SEM and other statistical and methodological strategies for the study of complex social and behavioral processes.