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Handbook of Structural Equation Modeling [Print Replica] [Kindle Edition]

Rick H. Hoyle , Rick H. Hoyle PhD

Kindle-Preis: EUR 51,03 Inkl. MwSt. und kostenloser drahtloser Lieferung über Amazon Whispernet

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  • ISBN-10 Print Replica: 1462516793
  • ISBN-13 Print Replica: 978-1462516797
  • Edition: Reprint
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Produktbeschreibungen

Pressestimmen

"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

Kurzbeschreibung

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.

Produktinformation


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Amazon.com: 5.0 von 5 Sternen  4 Rezensionen
3 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent text for SEM users 16. März 2013
Von Vinai Panjakajornsak - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
It give readers all aspects of SEM they need to know in order to apply the methodology in their research. It's also a great resource for those who teach SEM to graduate students. I recommend it to both students, researchers and academics who want to use SEM.

Vinai
King Mongkut's Intitute of Technology Ladkrabang
3 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen great handbook 8. Dezember 2013
Von Abby L. Braitman - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
An amazing book. Covers a wide range of topics, including many ignored in other books. It covers software when appropriate (also ignored or only briefly touched on by many). I like to treat as a reference resource.
3 von 3 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen The must-have for SEM 18. Februar 2013
Von Scott B. Maitland - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
An excellent book for all things related to SEM. A useful resource for teaching courses on the topic, especially when you are trying to include a chapter on particular topics rather than as a primary textbook.
4 von 10 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Excellent book 23. August 2012
Von Utkun - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Verifizierter Kauf
This handbook is a must for those who are interested in structural equation modeling. It is also useful for those who would like to learn the more advanced applications of SEM.
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