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.

Question

Quizplus · Accepted Answer

A larger sample size increases the likelihood of rejecting the null hypothesis because it decreases the standard error and increases the power of the test. However, sample size has little influence on measures of effect size such as r² and Cohen's d as these measures are based on the strength of the relationship between variables, which is not affected by sample size.

If Other Factors Are Held Constant,how Does Sample Size Influence