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A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues

A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues

A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues
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A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues Paperback - 1992

by Keren, Gideon; Lewis, Charles

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Lawrence Erlbaum Associates. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Details

  • Title A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues
  • Author Keren, Gideon; Lewis, Charles
  • Binding Paperback
  • Edition Statistical Issu
  • Condition Used - Very good
  • Pages 552
  • Volumes 1
  • Language ENG
  • Publisher Lawrence Erlbaum Associates
  • Publication date November 1, 1992
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 0805810935-11-1
  • ISBN 9780805810936 / 0805810935
  • Weight 1.95 lbs (0.88 kg)
  • Dimensions 9.16 x 5.98 x 1.35 in (23.27 x 15.19 x 3.43 cm)
  • Reading level 1450
  • Category Psychology
  • Library of Congress subjects Models, Statistical, Data Interpretation, Statistical
  • Library of Congress Catalogue Number 92-49492
  • Dewey Decimal Code 150.72
  • Quantity available 1

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Reader reviews for A Handbook for Data Analysis in the Behavioral Sciences: Statistical Issues

From the publisher

Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.
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