Although the hypothesis test can provide the probability that the levels of the independent variable lead to differences in the dependent variable, it is important to calculate effect size to:
A) determine how many participants are needed to detect an effect.
B) assess where the differences exist between conditions in the study.
C) determine if the differences are large enough to matter.
D) assess the probability of a Type II error.

Question

Quizplus · Accepted Answer

Effect size allows researchers to determine if the differences between conditions are clinically or practically significant, as opposed to just statistically significant. It helps to determine if the differences between conditions are large enough to matter, which can inform decisions in the field being studied.

Although the Hypothesis Test Can Provide the Probability That the Levels