The difference between the mean of the outcome variable after a program and the mean of the variable measured before the program divided by the standard deviation of the pre-program scores is an index of
A) effect size.
B) correlation.
C) statistical significance.
D) generalization.

Question

Quizplus · Accepted Answer

The difference between the mean of the outcome variable after a program and the mean of the variable measured before the program divided by the standard deviation of the pre-program scores is known as Cohen's d, which is a measure of effect size. It indicates the magnitude of the difference between two means in standardized units.

The Difference Between the Mean of the Outcome Variable After