Handbook of Structural Equation Modeling, Second Edition 2/e

GUILFORD PUBLICATIONSISBN: 9781462544646

Price:
Sale price$250.00
Stock:
In stock, 6 units

By Rick H. Hoyle
Imprint:
THE GUILFORD PRESS
Release Date:
Format:
HARDBACK
Dimensions:
240 x 190 mm
Weight:
1400 g
Pages:
842

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Description

Rick H. Hoyle, PhD, is Professor of Psychology and Neuroscience and Director of the Center for the Study of Adolescent Risk and Resilience at Duke University. He is a Fellow of the Association for Psychological Science, the American Psychological Association (Divisions 1, 5, 8, and 9), and the Society for Experimental Social Psychology. Dr. Hoyle has written extensively on structural equation modeling and other statistical and methodological strategies for the study of complex social and behavioral processes.

"I have always recommended this book for anyone interested in conducting or teaching SEM. The second edition continues to be my favorite comprehensive SEM reference book, with new chapters covering advanced topics."--Dana Joseph, PhD, College of Business Administration, University of Central Florida "This handbook is an outstanding desk reference on a wide variety of advanced and foundational topics. I recommend it either for personal use or for a class with students with strong quantitative backgrounds. The second edition has excellent coverage of exciting developments regarding analysis of longitudinal data. The chapter authors are a 'who's who' of the field."--Jeffrey S. Simons, PhD, Department of Psychology, University of South Dakota-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....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. (on the first edition)--Structural Equation Modeling, 4/1/2013

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