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A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling

A Beginner's Guide to Structural Equation Modeling
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A Beginner's Guide to Structural Equation Modeling Paperback - 2004

by Schumacker, Randall E.; Lomax, Richard G

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Description

Mahwah, NJ, U.S.A.: Lawrence Erlbaum Associates, Inc., 2004. Softcover has worn edges and creased and worn corners. Page block is a bit grubby. Dedication page is slightly water damaged. Pen mark on page 182. Small waterstain through top corners of some last pages. Bottom corners of early pages and corners of last pages are creased. The book is accompanied by CD. Illustrated with numerous diagrams and tables. Includes indexes. T. Second Edition. Paperback. Acceptable/No Dust Jacket. Used.
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Details

  • Title A Beginner's Guide to Structural Equation Modeling
  • Author Schumacker, Randall E.; Lomax, Richard G
  • Binding Paperback
  • Edition Second Edition
  • Condition Used - Acceptable
  • Pages 304
  • Volumes 1
  • Language ENG
  • Publisher Lawrence Erlbaum Associates, Inc., Mahwah, NJ, U.S.A.
  • Publication date 2004
  • Illustrated Yes
  • Bookseller's Inventory # 262685
  • ISBN 9780805840186 / 0805840184
  • Weight 1.57 lbs (0.71 kg)
  • Dimensions 8.96 x 6.04 x 1.11 in (22.76 x 15.34 x 2.82 cm)
  • Reading level 1440
  • Category Mathematics
  • Library of Congress subjects Social sciences - Statistical methods, Structural equation modeling
  • Library of Congress Catalogue Number 2004003497
  • Dewey Decimal Code 519.535

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Reader reviews for A Beginner's Guide to Structural Equation Modeling

From the publisher

The second edition features:

  • a CD with all of the book's Amos, EQS, and LISREL programs and data sets;
  • new chapters on importing data issues related to data editing and on how to report research;
  • an updated introduction to matrix notation and programs that illustrate how to compute these calculations;
  • many more computer program examples and chapter exercises; and
  • increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.

The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

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