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.
Thompson, Christopher G.
"Graphing Effects as Fuzzy Numbers in Meta-Analysis,"
Journal of Modern Applied Statistical Methods:
1, Article 49.
Available at: http://digitalcommons.wayne.edu/jmasm/vol15/iss1/49