Abstract
The widespread practice of substituting an empirical estimate of effect size in the standard sample size formula causes the average power of studies to fall below the nominal level,oftenby a considerable margin. Ordinarily concealed from view in an individual experiment, the power loss becomes visible when studies are examined collectively. To help researchers avoid the power deficit, the expected-power method of sample size determination is described. When information from an earlier study is available, it is recommended that researchers should base sample size calculations on the expected-power formula instead of the traditional power formula.
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