Testing for Homogeneity in Meta-Analysis I. The One-Parameter Case: Standardized Mean Difference

Volume: 67, Issue: 1, Pages: 203 - 212
Published: Jun 1, 2010
Abstract
Meta-analysis seeks to combine the results of several experiments in order to improve the accuracy of decisions. It is common to use a test for homogeneity to determine if the results of the several experiments are sufficiently similar to warrant their combination into an overall result. Cochran's Q statistic is frequently used for this homogeneity test. It is often assumed that Q follows a chi-square distribution under the null hypothesis of...
Paper Details
Title
Testing for Homogeneity in Meta-Analysis I. The One-Parameter Case: Standardized Mean Difference
Published Date
Jun 1, 2010
Journal
Volume
67
Issue
1
Pages
203 - 212
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