Graphing Effects as Fuzzy Numbers in Meta-Analysis
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Published
May 1, 2016
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Christopher G. Thompson
Florida State University, Tallahassee
Abstract
Prior to quantitative analyses, meta-analysts often explore descriptive characteristics of effect sizes. A graphic is proposed that treats effect sizes as fuzzy numbers. This plot can provide meta-analysts with such information such as heterogeneity of effects, precision of estimates, possible clusters, and existence of outliers.
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