Your head of research has followed your advice and now wants you to measure effect sizes. You report a Pearson’s r of 0.50 for the impact of increased consumption of oily fish supplements on student reading scores. Your head of research wants to know if this is bad, as she remembers that a p-value of 0.30 is not good. What do you tell her?

Question

A. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a large effect, suggesting she should encourage the use of oily fish supplements.
B. You tell her that effect size and p-values are the same and that a Pearson’s r of 0.50 means there is no statistically significant effect and oily fish supplements should not be given.
C. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a small effect, suggesting she should stop the use of oily fish supplements until more data analysis is done.
D. You tell her that effect size and p-values are not the same and that a Pearson’s r of 0.50 is a medium effect, suggesting she should encourage the use of oily fish supplements.

Answer 1

Answer: A