Post hoc tests are statistical analyses conducted after an initial analysis (like ANOVA) to explore which specific group means are different when the overall results are significant. They help in determining the exact nature of the differences between groups, especially in complex designs with multiple groups or factors, providing clarity on main effects and interactions.
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