Match the correct definition/description with the appropriate term.

1. Eta -Square

2. Omega-Square

3. Cohen's d

4. Phi-Square

5. Cramer's V

6. Coefficient of Determination

7. Sums of Squares Regression

A. Measures the strength of the relationship between two nominal variables, each of which have exactly two levels.

B. Measures the proportion of the total Sums of Squares in the Y variable that can be predicted from the X variable in a Regression Analsysis.

C. A measure of the strength of effect of an IV in terms of how many standard deviation units the means of two groups are separated after the manipulation.

D. A measure of the amount of variance in the DV that can be predicted from the IV in statistical analyses comparing the means of various groups.

E. Measures the strength of the relationship between two nominal variables, each of which may have more than two levels.

F. Measures the amount of variance in Y that can be predicted from X, using the square of the Pearson Product Moment Correlation Coefficent.

G. A measure of the amount of variance in the DV that can be predicted from the IV in statistical analyses comparing the means of various groups, with a correction for "over-estimates" produced by eta-square.