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  Post-hoc Statistical Power Calculator for Hierarchical Multiple Regression

This calculator will tell you the observed power for a hierarchical regression analysis; i.e., the observed power for a significance test of the addition of a set of independent variables B to the hierarchical model, over and above another set of independent variables A. The calculator requires that you specify the observed alpha level, the number of predictors in A and B, the observed effect size of B, and the sample size. The value returned by the calculator is the observed power for the addition of the set of independent variables B to the overall hierarchical model.

Please supply the necessary parameters, and then click the 'Calculate' button.

Observed Alpha Level: Also known as the p-value, probability, or type I error rate.
Predictors in A: The number of independent variables that comprise set A.
Predictors in B: The number of independent variables that comprise set B.
Effect Size (f2) for B: The effect size attributable to the addition of B to the model. To compute a hierarchical multiple regression effect size for set B from R2 values, click here.
Sample Size: The total number of valid cases used in the analysis.

 
 
 
 
The Statistics Calculators index now contains 56 free statistics calculators.

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