Handbook of Structural Equation Modeling

Edited by Rick H. Hoyle

Paperbacke-bookprint + e-book
October 1, 2014
ISBN 9781462516797
Price: $67.00 $50.25
740 Pages
Size: 7⅜" x 9¼"
Copyright Date: 2012
May 21, 2012
Price: $67.00 $50.25
740 Pages
Copyright Date: 2012
print + e-book
Paperback + e-Book (PDF) ?
Price: $134.00 $73.70
740 Pages

“In this welcome addition to the personal libraries of quantitative and applied researchers alike, Rick Hoyle brings considerable editorial skill to bear on the 40-chapter Handbook of . The breadth of topics covered in this reference text leaves little doubt that a firm grasp of data analysis with latent variables is essential to the advancement of scholarship in the social and behavioral sciences....An excellent resource for the many conceptual and analytical problems frequently encountered by researchers making use of SEM. About half of the chapters remain true to the Handbook's objective of accessibility to a novice readership (Chapters 1-4, 6-10, 12, 13, 15, 16, 19, 21, 22, 27-29, and 31), and several others are more suitable for readers with a modest background in latent variable modeling (Chapters 11, 14, 18, 20, 23, 25, 32, 34, and 36-40). A small number of chapters are suitable for advanced readers and those actively working in a quantitative discipline (Chapters 5, 30, 33, and 35). As a reference text, it is a strength of the Handbook that chapters vary in extent to which readers are presumed to possess statistical sophistication. As novice readers develop a deeper understanding of SEM fundamentals, the Handbook will continue to serve as a valuable reference for advanced applications....It is an impressive achievement that across 40 self-contained chapters and more than 75 authors there appeared very little unnecessary content overlap and no contradictory recommendations. Readers will find themselves returning to the Handbook again and again as a starting point for their work on virtually any topic currently within the broad reach of SEM.”

Structural Equation Modeling

“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 Angeles

“The 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