Matched pairs design is an experimental design that pairs subjects based on certain characteristics to control for variability in the data. This approach allows researchers to compare two treatments while minimizing the effects of confounding variables, ensuring that the results are more reliable and valid. By creating pairs that are similar, researchers can better isolate the impact of the treatment being studied.
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