Statistical Significance Tests: Equivalence and Reverse Tests Should Reduce Misinterpretation.

Investigates significance tests as a tool for helping to identify real effects in the face of random variation. Speculates that equivalence tests improve the logic of significance testing when demonstrating similarity is important. Reverse tests can help show that failure to reject a null hypothesis does not support that hypothesis. (Contains 30 references.) (DDR)