About this Event
1403 Circle Drive, Knoxville, TN 37996
Speaker: Robert Heidel
Affiliation: University of Tennessee Graduate School of Medicine
Title: Isomorphic properties of effect size, sample size, population variance, measurement, and research design - Helping consultees navigate important a priori decisions
Abstract: Statistical power is the ability to detect a significant effect, given that the effect actually exists in a population. Like most statistical concepts, statistical power tends to induce cognitive dissonance in novice researchers. However, planning for statistical power by an a priori sample size calculation is of paramount importance when designing a research study. We will cover five specific empirical components that comprise an a priori sample size calculation: The scale of measurement of the outcome, the research design, the magnitude of the effect size, the variance of the effect size, and the sample size. A framework grounded in the phenomenon of isomorphism, or interdependencies amongst different constructs with similar forms, will be presented to understand the isomorphic effects of decisions made on each of the five aforementioned components of statistical power.
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