Going Beyond Testing the Null Hypothesis Cohen persuasively argued that we should supplement probability values for rejecting the null hypothesis with
A)qualitative reports.
B)effect size.
C)confidence intervals.
D)effect size and confidence intervals.

Question

Quizplus · Accepted Answer

Cohen argued that relying solely on probability values for rejecting the null hypothesis (i.e. p-values) is insufficient. To fully understand the significance of an effect, we need to consider both effect size and confidence intervals. Effect size tells us whether an effect is practically significant, while confidence intervals give us an idea of the precision of our estimate of the effect. Therefore, the best choice is to supplement probability values with both effect size and confidence intervals, as stated in option D.

Going Beyond Testing the Null Hypothesis Cohen Persuasively Argued That