Some answers [Regulatives / Guidelines]

posted by ElMaestro  – Denmark, 2017-05-02 11:04 (2598 d 23:35 ago) – Posting: # 17288
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Hi Hötzi,

❝ The idea behind the Group-by-Treatment interaction is that the T/R in one group is different from the other (i.e., we have collinearity with a “hidden” variable). Therefore, simulate a group of subjects with T/R 0.95 and another one with T/R 0.95–1 (CV ad libitum). Merge them to get a “study”. Run model 1 and check the p-value of the Group-by-Treatment interaction. With the simple model you should expect T/R 1.

Thanks for this.
This sounds reasonable (T/R=1, assuming equal group sizes).

Could you tell how you got your F-test denominator? I am sure you are right, but I don't know where it came from. For an interaction of a between- and within-factor I think the rule of thumb (which is also a wee bit hard to define :-D) is to test against the within, which in this case would be the model residual.

Pass or fail!

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