About this resource

    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
    Cluster
    Conceptual and Statistical Knowledge
    Last updated
    24 May 2020

    The case against statistical significance testing

    Open this resource

    Level College / Upper Division (Undergraduates) · For Student · Language English

    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.