Multiple R²: Power Calculation Parameters - Quick Tab

Select the Quick tab of the Multiple R²: Power Calculation Parameters dialog box to access options to enter baseline parameters for power calculations for the squared multiple correlation coefficient.

Fixed Parameters. The entries in the boxes under Fixed Parameters establish the fixed, or baseline, parameters for subsequent power calculations and graphs. Parameters that are not varied explicitly as the independent (X-axis) variables in a graphical analysis will be set equal to these values. Throughout what follows, we use R² to stand for the sample squared multiple correlation, and P² to stand for its population equivalent.

P². In the box, enter the population squared multiple correlation.

C² (Null P²). In the C² (Null P²) box, enter a constant between zero and one. This constant is the null hypothesized value of P². Using the Multiple R²: Probability Calculator and the Multiple R²: Interval Estimation dialog boxes that are included in this module, you can perform a variety of procedures on the multiple R² that are not available in standard statistics packages. Not only can you compare the multiple R² to a value of zero, but you can also perform a variety of other hypothesis tests to compare it to some value other than zero.  

Ind. Vars. (k). In the Ind. Vars. (k) box, enter the number of independent variables in the multiple regression prediction equation.

N. In the N box, enter N, the sample size.

Alpha. In the Alpha box, enter the type I error rate for the overall significance test.

Type of Hypothesis. The choice of option buttons under Type of Hypothesis determines the type of null hypothesis tested.

2-tailed (P2 = C2). Select the 2-tailed (P2 = C2) option button to test null and alternative hypotheses of the form

H0: P2  = C2 H1: P2 ¹ C2

1-tailed (P2 <= C2). Select the 1-tailed (P2 <= C2) option button to test null and alternative hypotheses of the form

H0: P2  ≤; C2 H1: P2 > C2

1-tailed (P2 >= C2). Select the 1-tailed (P2 >= C2) option button to test null and alternative hypotheses of the form

H0: P2  ³ C2 H1: P2 < C2

1-tailed (P2 = 0). Select the 1-tailed (P2 = 0) option button to test null and alternative hypotheses of the form

H0: P2  = 0 H1: P2 > 0

(This is the hypothesis tested by the standard F-statistic for zero multiple correlation.)