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

Question

Quizplus · Accepted Answer

Eta squared is a commonly used measure of effect size for complex ANOVA designs as it measures the proportion of variance in the outcome variable that is explained by the independent variable(s). This allows for a better understanding of the practical significance of any statistically significant findings. Choice B (N-1) is not a measure of effect size, but rather refers to the degrees of freedom used in calculating certain statistics. Choice C (Cohen's d) is more commonly used for comparing means between two groups rather than for complex ANOVA designs. Choice D (Mean Square Error) is a term used in ANOVA to represent the variability in the outcome variable not accounted for by the independent variable(s) and is not a measure of effect size.

A Common Measure of Effect Size for a Complex Design