an effect size measure that represents the standardized difference between means. Hedges’s g differs from the more widely used Cohen’s d in that, whereas both use a pooled standard deviation in the denominator, the former uses n – 1 and the latter uses n when calculating the standard deviations. Thus, Hedges’s g tends to be considered as having less bias than Cohen’s d. See also Glass’s d. [Larry V. Hedges, U.S. statistician]