Statistical Methods for Meta-Analysis

by Larry V. Hedges, Ingram Olkin

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.

369 pages, Kindle Edition

First published January 1, 1985

Reviews

[Argum · Rating 3 out of 5]

This is my least favorite of the half dozen methanalysis texts I have read. This book is very education and psychology based without any warning. It is also very technical with the little motivation. The math itself is well presented it just seems to arrive from nowhere. I would skip this one unless you are educ/psych and very well versed already in metaanalysis