To minimize problems in repeated-measures designs that can result from systematic differences between successive measurements, a researcher should use a method called
A) random assignment.
B) counterbalancing.
C) nesting.
D) expectancy control.

Question

Quizplus · Accepted Answer

Counterbalancing is a method that involves administering the experimental conditions in different orders across participants, ensuring that each condition appears equally often in each position. This helps to control for order effects, such as practice effects or fatigue, which can affect the results of repeated-measures designs. Random assignment is a method used to assign participants to different groups in a between-subjects design and is not relevant to repeated-measures designs. Nesting refers to the relationships among levels of a variable where one level of one variable is associated with a particular level of another variable, and it does not apply to repeated-measures designs. Expectancy control is a method used to reduce the effects of experimenter biases, but it is not directly relevant to controlling order effects in repeated-measures designs.

To Minimize Problems in Repeated-Measures Designs That Can Result from Systematic