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…

This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…

Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…