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Statistical Methods for Meta-Analysis

Statistical Methods for Meta-Analysis

Statistical Methods for Meta-Analysis
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Statistical Methods for Meta-Analysis Hardback - 1985 - 1st Edition

by Hedges, Larry V

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Academic Press, 1985-08-11. 1. hardcover. Used: Good. 6.33x1.22x9.31. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Statistical Methods for Meta-Analysis
  • Author Hedges, Larry V
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used: Good
  • Pages 369
  • Volumes 1
  • Language ENG
  • Publisher Academic Press, San Diego, CA, U.S.A
  • Publication date 1985-08-11
  • Features Bibliography, Index
  • Bookseller's Inventory # SONG0123363802
  • ISBN 9780123363800 / 0123363802
  • Weight 1.61 lbs (0.73 kg)
  • Dimensions 9.31 x 6.33 x 1.22 in (23.65 x 16.08 x 3.10 cm)
  • Size 6.33x1.22x9.31
  • Category Sociology
  • Library of Congress subjects Social sciences - Statistical methods, Meta-analysis
  • Library of Congress Catalogue Number 84012469
  • Dewey Decimal Code 300.72
  • Quantity available 1

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Reader reviews for Statistical Methods for Meta-Analysis

From the publisher

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these.
Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.
Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.
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