We introduce a new, readily computed statistic, the counternull value
of an obtained effect size, which is the nonnull magnitude of effect s
ize that is supported by exactly the same amount of evidence as suppor
ts the null value of the effect size. In other words, if the counternu
ll value were taken as the null hypothesis, the resulting p value woul
d be the same as the obtained p value for the actual null hypothesis.
Reporting the counternull in addition to the p value, virtually elimin
ates two common errors: (a) equating failure to reject the null with t
he estimation of the effect size as equal to zero and (b) taking the r
ejection of a null hypothesis on the basis of a significant p value to
imply a scientifically important finding. In many common situations w
ith a one-degree-of-freedom effect size, the value of the counternull
is simply twice the magnitude of the obtained effect size, but the cou
nternull is defined in general, even with multi-degree-of-freedom effe
ct sizes, and therefore can be applied when a confidence interval cann
ot be. The use of the counternull can be especially useful in meta-ana
lyses when evaluating the scientific importance of summary effect size
s.