Which of the following statements about effect sizes is TRUE?
A) A large effect size indicates a high level of practical significance.
B) The concept of effect size is a statistical abstraction that has no practical application.
C) Small effect sizes can be important under the right circumstances.
D) Effect sizes are useful in estimating the probability of making a Type I error but not in estimating the probability of making a Type II error.

Question

Quizplus · Accepted Answer

Small effect sizes can be important under the right circumstances. This is because an effect size is a measure of the strength of the relationship between two variables or the difference between two groups. Even if the effect is small, it can still be important if it is statistically significant and has practical significance in the specific context of the research question. Therefore, choice C is the only true statement about effect sizes.

Which of the Following Statements About Effect Sizes Is TRUE