When the data form a 2 x 2 matrix, the phi-coefficient is used to measure effect size for the chi-square test for independence. If other factors are held constant, how does the sample size influence the values for phi and chi-square?
A) A larger sample increases both the values of phi and chi-square.
B) A larger sample increases the value of phi but has no effect on the value of chi-square.
C) A larger sample increases the value of chi-square but has no effect on the value of phi.
D) Sample size does not influence either the value of phi or chi-square.
Question 2
How does sample variance influence the likelihood of rejecting the null hypothesis and measures of effect size such as r2 and Cohen's d?
A) Larger variance increases both the likelihood and measures of effect size.
B) Larger variance increases the likelihood but decreases measures of effect size.
C) Larger variance decreases the likelihood but increases measures of effect size.
D) Larger variance decreases both the likelihood and measures of effect size.
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