The case against statistical significance testing

Abstract

In recent years the use of traditional statistical methods in educational research has increasingly come under attack. In this article, Ronald P. Carver exposes the fantasies often entertained by researchers about the meaning of statistical significance. The author recommends abandoning all statistical significance testing and suggests other ways of evaluating research results. Carver concludes that we should return to the scientific method of examining data and replicating results rather than relying on statistical significance testing to provide equivalent information.

Link to resource: https://www.hepgjournals.org/doi/abs/10.17763/haer.48.3.t490261645281841

Type of resources: Primary Source, Reading

Education level(s): College / Upper Division (Undergraduates)

Primary user(s): Student

Subject area(s): Math & Statistics

Language(s): English