Two different approaches have been used to derive measures of effect s
ize. One approach is based on the comparison of treatment means. The s
tandardized mean difference is an appropriate measure of effect size w
hen one is merely comparing two treatments, but there is no satisfacto
ry analogue for comparing more than two treatments. The second approac
h is based on the proportion of variance in the dependent variable tha
t is explained by the independent variable. Estimates have been propos
ed for both fixed-factor and random-factor designs, but their sampling
properties are not well understood. Nevertheless, measures of effect
size can allow quantitative comparisons to be made across different st
udies, and they can be a useful adjunct to more traditional outcome me
asures such as test statistics and significance levels.