Handbook of Structural Equation Modeling

RICK H. HOYLE

ISBN 10: 1462544649 ISBN 13: 9781462544646

Editorial: The Guilford Press, 2023

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New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N� de ref. del art�culo ABEOCT25-316444

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Sinopsis:

The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait–multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition.

New to This Edition
*Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more.
*Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results.
*60% new material reflects a decade's worth of developments in the mechanics and application of SEM.
*Many new contributors and fully rewritten chapters.

Acerca del autor: 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.

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Detalles bibliogr�ficos

T�tulo: Handbook of Structural Equation Modeling
Editorial: The Guilford Press
A�o de publicaci�n: 2023
Encuadernaci�n: Encuadernaci�n de tapa dura
Condici�n: Brand New
Edici�n: 2� Edici�n

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Handbook of Structural Equation Modeling

Hoyle, Rick H. (EDT)

Publicado por The Guilford Press, 2023

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Handbook of Structural Equation Modeling

Publicado por The Guilford Press, 2023

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HANDBOOK OF STRUCTURAL EQUATION MODELING

GOLDBERG MINTZ, MELI

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Handbook of Structural Equation Modeling, Second Edition

Rick H. Hoyle

Publicado por Guilford Publications, 2023

ISBN 10: 1462544649 ISBN 13: 9781462544646

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Handbook of Structural Equation Modeling, Second Edition (Hardcover)

Rick H. Hoyle

Publicado por Guilford Publications, New York, 2023

ISBN 10: 1462544649 ISBN 13: 9781462544646

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Hardcover. Condici�n: new. Hardcover. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitraitmultimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9781462544646

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