Counterbalancing is used to control order effects in which design?

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Multiple Choice

Counterbalancing is used to control order effects in which design?

Explanation:
Counterbalancing is used to control order effects—the influence that the sequence of conditions has on participants’ responses. In a repeated measures design, the same participants experience every condition, so their performance can be affected by the order they encounter them (e.g., practice or fatigue). By varying the order across participants—using full counterbalancing (all possible orders) or partial methods like a Latin square—these order-related influences are spread out and no single condition is biased by its position. This lets us attribute differences more confidently to the conditions themselves rather than to the order in which they were presented. In contrast, independent groups designs already avoid order effects by using different participants for each condition, and quasi-experimental or longitudinal designs don’t center on balancing the sequence of conditions in the same way.

Counterbalancing is used to control order effects—the influence that the sequence of conditions has on participants’ responses. In a repeated measures design, the same participants experience every condition, so their performance can be affected by the order they encounter them (e.g., practice or fatigue). By varying the order across participants—using full counterbalancing (all possible orders) or partial methods like a Latin square—these order-related influences are spread out and no single condition is biased by its position. This lets us attribute differences more confidently to the conditions themselves rather than to the order in which they were presented. In contrast, independent groups designs already avoid order effects by using different participants for each condition, and quasi-experimental or longitudinal designs don’t center on balancing the sequence of conditions in the same way.

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