Post-hoc tests are statistical analyses conducted after an initial hypothesis test indicates a significant effect, helping to identify which specific group means are different from each other. These tests are essential when multiple comparisons are made, as they control for Type I error rates that may increase when performing several pairwise comparisons. They allow researchers to pinpoint the specific conditions or groups that contribute to overall significant differences observed in data analyses.
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