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Structural Equation Modeling: Foundations and Extensions

Structural Equation Modeling: Foundations and Extensions

Structural Equation Modeling: Foundations and Extensions Hardback - 2008

by David W. Kaplan

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Hardback. New. Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chapters
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Details

  • Title Structural Equation Modeling: Foundations and Extensions
  • Author David W. Kaplan
  • Binding Hardback
  • Edition 2nd
  • Condition New
  • Pages 272
  • Volumes 1
  • Language ENG
  • Publisher Sage Publications, Inc
  • Publication date 2008-07-23
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # A9781412916240
  • ISBN 9781412916240 / 1412916240
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 9 x 6.2 x 0.8 in (22.86 x 15.75 x 2.03 cm)
  • Category Sociology
  • Library of Congress subjects Social sciences - Statistical methods, Social sciences - Mathematical models
  • Library of Congress Catalogue Number 2008017670
  • Dewey Decimal Code 300.151
  • Quantity available 10

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From the publisher

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face.

Intended Audience

While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.

Media reviews

Citations

  • Reference and Research Bk News, 05/01/2009, Page 83

About the author

David Kaplan received his Ph.D. in Education from UCLA in 1987. He is now a Professor of Education and (by courtesy) Psychology at the University of Delaware. His research interests are in the development and application of statistical models to problems in educational evaluation and policy analysis. His current program of research concerns the development of dynamic latent continuous and categorical variable models for studying the diffusion of educational innovations.

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