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Hi f.b.,
If P(Seq) is low then it means your metric objectively differed between the two sequences. Perhaps the randomisation "was not effective"; check your descriptive statistics. If all the fat ones ended up in TR and all the Jane Fonda types were in RT then that would be one obvious reason, but you cannot prove it as a hindsight consideration. It would however, be a likely explanation. Can happen by chance.
❝ In case of performing a study with an endogenous substances such as hormones what would be the approach to justify an ocurrance of a sequence effect for HA? Premisse: You have an adequate washout period, and you have found this effect....
❝ What else could be done?
If P(Seq) is low then it means your metric objectively differed between the two sequences. Perhaps the randomisation "was not effective"; check your descriptive statistics. If all the fat ones ended up in TR and all the Jane Fonda types were in RT then that would be one obvious reason, but you cannot prove it as a hindsight consideration. It would however, be a likely explanation. Can happen by chance.
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Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
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Ing. Helmut Schütz