Cohen's d is the effect size often reported for an independent samples t-test. How does the calculation for Cohen's d compare to the calculation of a t-statistic?
A) Cohen's d uses pooled standard error and the t-statistic does not
B) Cohen's d is not directly influenced by the size of the sample, but the t-statistic is.
C) Cohen's d uses the pooled standard deviation whereas the t-statistic does not require a measure of variability.
D) Cohen's d is a measure of how likely the mean is to differ from a null population, whereas the t-statistic is a measure of how big the mean difference is in units of variability.

Question

Quizplus · Accepted Answer

Cohen's d is calculated using the difference between two means divided by the pooled standard deviation, making it independent of sample size. The t-statistic, however, incorporates sample size in its calculation through the standard error, which affects its value.

Cohen's D Is the Effect Size Often Reported for an Independent