Statistical Methods for Meta-Analysis

✍ Scribed by Larry V. Hedges and Ingram Olkin (Auth.)

• Publisher: Elsevier Inc
• Year: 1985
• Tongue: English
• Leaves: 370
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages xv-xix
Acknowledgments, Pages xxi-xxii
CHAPTER 1 - Introduction, Pages 1-14
CHAPTER 2 - Data Sets, Pages 15-26
CHAPTER 3 - Tests of Statistical Significance of Combined Results, Pages 27-46
CHAPTER 4 - Vote-Counting Methods, Pages 47-74
CHAPTER 5 - Estimation of a Single Effect Size: Parametric and Nonparametric Methods, Pages 75-106
CHAPTER 6 - Parametric Estimation of Effect Size from a Series of Experiments, Pages 107-145
CHAPTER 7 - Fitting Parametric Fixed Effect Models to Effect Sizes: Categorical Models, Pages 147-165
CHAPTER 8 - Fitting Parametric Fixed Effect Models to Effect Sizes: General Linear Models, Pages 167-188
CHAPTER 9 - Random Effects Models for Effect Sizes, Pages 189-203
CHAPTER 10 - Multivariate Models for Effect Sizes, Pages 205-222
CHAPTER 11 - Combining Estimates of Correlation Coefficients, Pages 223-246
CHAPTER 12 - Diagnostic Procedures for Research Synthesis Models, Pages 247-263
CHAPTER 13 - Clustering Estimates of Effect Magnitude, Pages 265-283
CHAPTER 14 - Estimation of Effect Size When Not All Study Outcomes are Observed, Pages 285-309
CHAPTER 15 - Meta-Analysis in the Physical and Biological Sciences, Pages 311-325
APPENDIX, Pages 327-345
References, Pages 347-359
Author Index, Pages 361-364
Subject Index, Pages 365-369