Statistical Methods for Meta-Analysis
| By: | Larry V. Hedges; Ingram Olkin |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780123363800 |
| eText ISBN: | 9780080570655 |
| Edition: | 0 |
| Copyright: | 1985 |
| Format: | Page Fidelity |
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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.