A method of controlling for order effects in a repeated-measures design by either including all orders of treatment or by randomly determining the order for each subject is called?

A method of controlling for order effects in a repeated-measures design by either including all orders of treatment or by randomly determining the order for each subject is called?

• A. Counterbalancing
• B. Blocking
• C. Randomization
• D. Matching

Answer: (A)

Order effects happen when the sequence in which treatments are presented influences participants’ responses in a repeated-measures design. Counterbalancing mitigates this by distributing the order of treatments across participants so that any potential order-related biases cancel out. Using every possible order provides complete counterbalancing, ensuring each treatment appears in each position equally often. If listing all orders isn’t feasible with many conditions, randomizing the order for each subject (randomized counterbalancing) or using a structured approach like a Latin square to approximate balance can still control for order effects. Blocking and matching address other design concerns and don’t specifically target the sequencing bias in the same way, and general randomization alone doesn’t guarantee balance across presentation orders.

Order effects happen when the sequence in which treatments are presented influences participants’ responses in a repeated-measures design. Counterbalancing mitigates this by distributing the order of treatments across participants so that any potential order-related biases cancel out. Using every possible order provides complete counterbalancing, ensuring each treatment appears in each position equally often. If listing all orders isn’t feasible with many conditions, randomizing the order for each subject (randomized counterbalancing) or using a structured approach like a Latin square to approximate balance can still control for order effects. Blocking and matching address other design concerns and don’t specifically target the sequencing bias in the same way, and general randomization alone doesn’t guarantee balance across presentation orders.