A common measure of effect size for the effects in a complex design using ANOVA is
A) N - 1.
B) eta squared.
C) Cohen's d.
D) Mean Square Error.

Question

Quizplus · Accepted Answer

Eta squared is an appropriate measure of effect size for complex designs using ANOVA. It measures the proportion of variance accounted for by a factor in the design. It is a more accurate measure of effect size than mean square error, which is a measure of variability within groups, and Cohen's d, which is more appropriate for two-group comparisons. N - 1 is not a measure of effect size, but rather a formula used to calculate sample variance.

A Common Measure of Effect Size for the Effects in a Complex