Report the benchmarks for small, medium and large effect sizes in the and specify which one you chose). Effect size chosen: (d or r)
Measures of effect size:
Cohen's d and r2 are the measures of effect size.
Cohen’s d:
Cohen’s d is used for measuring the effect size for comparing the two means.
Cohen’s d is defined as the ratio of the difference between the means and the standard deviation.
The value of d measure lies between 0 and infinity.
r2 measure:
The r2 effect size measures the proportion of variance explained by the group membership
The r2 measure calculated by the sum of squares for the effect divided by the sums of squares for other factors in the design.
The value of r2 measure lies between 0 and 1.
The best measure of effect size between cohen's d and r2 is cohen's d.
Conditions of effect size:
|
d |
size of effect |
|
0.2 |
Small |
|
0.5 |
Medium |
|
0.8 or greater |
Large |
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