If a repeated-measures study shows a significant difference between two treatments with α = .01,then what can you conclude about measures of effect size? A)The value of Cohen's d is large. B)The percentage of variance explained (r²)is large. C)Both Cohen's d and r² are large. D)A significant effect does not necessarily mean that the effect size will be large.

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Quizplus · Accepted Answer

A significant difference only indicates that the difference is unlikely to be due to chance. It does not necessarily mean that the effect size will be large. Effect size measures such as Cohen's d and percentage of variance explained should be examined to determine the magnitude of the difference between the treatments.

If a Repeated-Measures Study Shows a Significant Difference Between Two