A main effect refers to the direct impact of an independent variable on a dependent variable in statistical analysis. It highlights how changes in one factor can influence the outcome, regardless of other variables present. Understanding main effects is crucial for interpreting results in experimental designs, particularly when examining multiple factors simultaneously.
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