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Structural Equation Modeling: A Second Course (2nd Edition)

Structural Equation Modeling: A Second Course (2nd Edition)

Structural Equation Modeling: A Second Course (2nd Edition) Paperback - 2013

by Gregory R. Hancock (Editor); Ralph O. Mueller (Editor)

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically
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Details

  • Title Structural Equation Modeling: A Second Course (2nd Edition)
  • Author Gregory R. Hancock (Editor); Ralph O. Mueller (Editor)
  • Binding Paperback
  • Edition [ Edition: secon
  • Condition New
  • Pages 702
  • Volumes 1
  • Language ENG
  • Publisher Information Age Publishing
  • Publication date 2013-03-21
  • Bookseller's Inventory # ria9781623962449_inp
  • ISBN 9781623962449 / 1623962447
  • Weight 2.13 lbs (0.97 kg)
  • Dimensions 9.21 x 6.14 x 1.4 in (23.39 x 15.60 x 3.56 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Mathematics
  • Library of Congress subjects Linear models (Statistics), Multilevel models (Statistics)
  • Library of Congress Catalogue Number 2013004599
  • Dewey Decimal Code 519.53
  • Quantity available 500

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Reader reviews for Structural Equation Modeling: A Second Course (2nd Edition)

From the publisher

Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians

This volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.

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