Main effects refer to the direct impact of an independent variable on a dependent variable in an analysis, such as Two-way ANOVA. They help to understand how changes in a factor influence the outcomes without considering interactions between factors. Recognizing main effects is crucial for interpreting data accurately and assessing the significance of different variables within an experimental framework.
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