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If, when you set up the study, you do not single out any specific comparisons you are most interested in making regarding the three methods, then you can perform posthoc comparisons once you gather the info. If that’s the case, you then actually should resort to something like Tukey’s HSD to do your pairwise comparisons. I haven’t had time to write down this part, but I suppose the strategy of planned comparisons is essential sufficient to deserve a fast dialogue. 1 Attach information set to have the ability to immediately call the columns with out “$”
- It just isn’t actually a standard way to view datasets, however I think it should be.
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- To be conservative, these are wider than necessary for comparisons.
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You should need to use the Bonferroni correction to adjust the significance level. In contrast, evaluating A and B is not orthogonal to comparing B and C. Evaluating Groups A and B is orthogonal to evaluating Groups C and D, as a end result of there is no information in the knowledge from groups A and B that’s related when comparing Groups C and D.