A researcher selects a sample from a population with = 30 and uses the sample to evaluate the effect of a treatment. After treatment, the sample has a mean of M = 32 and a variance of s2 = 6 . If Cohen's d is used to measure the size of the treatment effect, which of the following would have no effect on the value of Cohen's d?
a. Increase the sample size
b. Increase the sample mean
c. Increase the sample variance
d. All of the other options will influence the value of Cohen's d.
Question 2
How does sample variance influence the estimated standard error and measures of effect size such as r2 and Cohen's d?
a. Larger variance increases both the standard error and measures of effect size.
b. Larger variance increases the standard error but decreases measures of effect size.
c. Larger variance decreases the standard error but increases measures of effect size.
d. Larger variance decreases both the standard error and measures of effect size.
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