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Following on from the earlier sections on contrasts and post-hoc exams in ANOVA, I think the strategy of planned comparisons is important enough to deserve a quick dialogue. In posthoc analyses, an adjustment to correct for inflated experimentwise risk of Sort I error, by dividing the F value by the general degrees of freedom between from the original overall ANOVA analysis Adjustment to avoid inflation of experimentwise risk of Type I error, by dividing significance degree by the number of planned contrasts to be performed Earlier Than we evaluate the F-test end result to the cutoff score, we divide the F worth by the general levels of freedom between, or the variety of groups minus one. The Scheffé technique includes adjusting the F-test outcome, quite than adjusting the significance stage.
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Now, you might have meant that you ran 2 “units” (i.e. via different methods, e.g. Tukey and Hsu) of pairwise comparisons? Better would have been “two planned pairwise comparisons had been performed” (meaning you in contrast only 2 pairs). Pairwise is to be understood as contrasting with the omnibus nature of the one-way ANOVA; ANOVA performs an omnibus comparison, the post-hoc exams perform pairwise comparisons (on all possible pairs, or solely chosen pairs). The different samples you evaluate in a one-way ANOVA are typically called groups, levels (of a single factor), or categories.
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