For a between-subjects experiment, any factor that increases the variance within treatments also increases the likelihood of finding a significant difference between treatments.

Question

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In a between-subjects experiment, factors that increase the variance within treatments actually decrease the likelihood of finding a significant difference between treatments, because they make it harder to detect differences that are due to the treatment itself rather than to random variation within groups.

For a Between-Subjects Experiment, Any Factor That Increases the Variance