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CHAPTER 1 - Introduction
Pages 1-14 - Book chapterAbstract only
CHAPTER 2 - Data Sets
Pages 15-26 - Book chapterAbstract only
CHAPTER 3 - Tests of Statistical Significance of Combined Results
Pages 27-46 - Book chapterAbstract only
CHAPTER 4 - Vote-Counting Methods
Pages 47-74 - Book chapterAbstract only
CHAPTER 5 - Estimation of a Single Effect Size: Parametric and Nonparametric Methods
Pages 75-106 - Book chapterAbstract only
CHAPTER 6 - Parametric Estimation of Effect Size from a Series of Experiments
Pages 107-145 - Book chapterAbstract only
CHAPTER 7 - Fitting Parametric Fixed Effect Models to Effect Sizes: Categorical Models
Pages 147-165 - Book chapterAbstract only
CHAPTER 8 - Fitting Parametric Fixed Effect Models to Effect Sizes: General Linear Models
Pages 167-188 - Book chapterAbstract only
CHAPTER 9 - Random Effects Models for Effect Sizes
Pages 189-203 - Book chapterAbstract only
CHAPTER 10 - Multivariate Models for Effect Sizes
Pages 205-222 - Book chapterAbstract only
CHAPTER 11 - Combining Estimates of Correlation Coefficients
Pages 223-246 - Book chapterAbstract only
CHAPTER 12 - Diagnostic Procedures for Research Synthesis Models
Pages 247-263 - Book chapterAbstract only
CHAPTER 13 - Clustering Estimates of Effect Magnitude
Pages 265-283 - Book chapterAbstract only
CHAPTER 14 - Estimation of Effect Size When Not All Study Outcomes are Observed
Pages 285-309 - Book chapterAbstract only
CHAPTER 15 - Meta-Analysis in the Physical and Biological Sciences
Pages 311-325 - Book chapterNo access
APPENDIX
Pages 327-345 - Book chapterNo access
References
Pages 347-359 - Book chapterNo access
Author Index
Pages 361-364 - Book chapterNo access
Subject Index
Pages 365-369
About the book
Description
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.
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.
Details
ISBN
978-0-08-057065-5
Language
English
Published
1985
Copyright
Copyright © 1985 Elsevier Inc. All rights reserved.
Imprint
Academic Press