If other factors are held constant, how does sample size influence the likelihoo

Question

If other factors are held constant, how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen’s d?

A. A larger sample increases both the likelihood and measures of effect size.

B. A larger sample increases the likelihood but has little influence on measures of effect size.

C. A larger sample decreases the likelihood but has little influence on measures of effect size.

D. A larger sample decreases both the likelihood and measures of effect size

Explanation / Answer

If other factors are held constant, how does sample size influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen’s d?

B. A larger sample increases the likelihood but has little influence on measures of effect size.

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