However, these also depend on the number of predictors involved. \(f^2\) is useful for computing the power and/or required sample size for a regression model or individual predictor. This makes it very easy to compute \(f^2\) for individual predictors in Excel as shown below. $$W = \sqrt\) -the squared semipartial (or “part”) correlation for some predictor. Ĭohen’s W is the effect size measure of choice for
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