Repeated measures designs are extremely sensitive to finding statistically significant differences between groups because the researchers have access to data from the same participants in both test conditions.
A repeated measures design refers to the procedure of assigning participants to experimental conditions in which each respondent is assigned to all levels of the independent variable. Since the researchers have access to information from the same participants in both test conditions, repeated measures designs are hyper delicate to finding statistically significant differences between groups.
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