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Researchers use single factor experimental designs to try to study causal relationships. For example, if researchers want to know if an exercise intervention reduces depression, they might randomly assign some participants to receive the exercise intervention and others to not. They could collect baseline and post-intervention data and compare the two groups. If the treatment group showed a significantly greater reduction of depression than the control group, the researchers would conclude that the exercise intervention reduced depression.
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