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Applied Multivariate Statistics for the Social Sciences, Fifth Edition

Applied Multivariate Statistics for the Social Sciences, Fifth Edition

Applied Multivariate Statistics for the Social Sciences, Fifth Edition Paperback - 2001 - 4th Edition

by Stevens, James P

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  • Title Applied Multivariate Statistics for the Social Sciences, Fifth Edition
  • Author Stevens, James P
  • Binding Paperback
  • Edition number 4th
  • Edition 4
  • Condition Used - Very good
  • Pages 720
  • Volumes 1
  • Language ENG
  • Publisher Psychology Press, New York, New York, U.S.A.
  • Publication date 2001-08
  • Bookseller's Inventory # GOR008171779
  • ISBN 9780805837773 / 0805837779
  • Weight 2.13 lbs (0.97 kg)
  • Dimensions 9.14 x 6.08 x 1.49 in (23.22 x 15.44 x 3.78 cm)
  • Category Sociology
  • Library of Congress Catalogue Number 2001033068
  • Dewey Decimal Code 519.535
  • Quantity available 1

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Reader reviews for Applied Multivariate Statistics for the Social Sciences, Fifth Edition

From the publisher

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The new edition features a CD-ROM with the data sets and many new exercises. Ideal for courses on advanced or multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial analysis of variance. It does not assume a working knowledge of matrix algebra.
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