This document discusses within-groups or repeated measures designs. In within-groups designs, the same group of participants receives all levels of the independent variable. The key advantages are that all groups are equal at the beginning and the design is very sensitive to changes. Disadvantages include potential carryover effects and sensitivity to time variables like practice and fatigue. Counterbalancing techniques like Latin squares can help control for order effects. Mixed designs combine within- and between-groups approaches to rule out carryover effects while maintaining control. Matched subjects designs aim to reduce error variance by matching and randomly assigning participants.
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