About this resource

    Type of resources
    Primary Source, Reading, Paper
    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
    29 October 2026

    Effect Size and Power in Assessing Moderating Effects of Categorical Variables Using Multiple Regression: A 30-Year Review

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

    Abstract

    The authors conducted a 30-year review (1969-1998) of the size of moderating effects of categorical variables as assessed using multiple regression. The median observed effect size (f(2)) is only .002, but 72% of the moderator tests reviewed had power of .80 or greater to detect a targeted effect conventionally defined as small. Results suggest the need to minimize the influence of artifacts that produce a downward bias in the observed effect size and put into question the use of conventional definitions of moderating effect sizes. As long as an effect has a meaningful impact, the authors advise researchers to conduct a power analysis and plan future research designs on the basis of smaller and more realistic targeted effect sizes.