Journal
RESEARCH SYNTHESIS METHODS
Volume 1, Issue 2, Pages 112-125Publisher
WILEY
DOI: 10.1002/jrsm.11
Keywords
meta-analysis; outliers; influence diagnostics; mixed-effects model
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The presence of outliers and influential cases may affect the validity and robustness of the conclusions from a meta-analysis. While researchers generally agree that it is necessary to examine outlier and influential case diagnostics when conducting a meta-analysis, limited studies have addressed how to obtain such diagnostic measures in the context of a meta-analysis. The present paper extends standard diagnostic procedures developed for linear regression analyses to the meta-analytic fixed-and random/mixed-effects models. Three examples are used to illustrate the usefulness of these procedures in various research settings. Issues related to these diagnostic procedures in meta-analysis are also discussed. Copyright (C) 2010 John Wiley & Sons, Ltd.
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