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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.; Olkin, Ingram

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Academic Press. 1. Acceptable. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Details

  • Title Statistical Methods for Meta-Analysis
  • Author Hedges, Larry V.; Olkin, Ingram
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Acceptable
  • Pages 369
  • Volumes 1
  • Language ENG
  • Publisher Academic Press, San Diego, CA, U.S.A
  • Publication date 1985-07-28
  • Features Bibliography, Index
  • Bookseller's Inventory # 0123363802-7-1
  • 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)
  • 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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