Individual differences among participants in a random groups design are controlled by

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Balancing the individual differences across the conditions of the experiment is the best way to control for individual differences in a random groups design. By assigning participants to each condition in a way that ensures that the individual differences are evenly distributed across the conditions, researchers can be more confident that any observed effects are due to the manipulation of the independent variable, rather than individual differences between participants. Eliminating or holding constant individual differences is not practical or ethical, and ignoring them can lead to biased results.

Individual Differences Among Participants in a Random Groups Design Are