Random assignment to conditions works to balance participants' individual differences across conditions of the experiment by

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Random assignment to conditions ensures that participants are distributed equally across the different conditions of the experiment, creating groups that are equivalent, on average. This helps to control for the influence of individual differences in the results obtained from the experiment. Matching individuals on key variables is a technique used in non-randomized designs, and forming groups based on individual differences can create confounding variables in the experiment. Asking individuals to participate in each condition is not feasible or practical in most situations.

Random Assignment to Conditions Works to Balance Participants' Individual Differences