STATISTICS - How to decide between 'no evidence for an effect' or 'strong evidence for no effect'?
| When |
Feb 15, 2023
from 01:15 PM to 04:45 PM |
|---|---|
| Where | room 101, Tennenbacherstraße 4, 1st floor |
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Question
How to decide between 'no evidence for an effect' or 'strong evidence for no effect'?"
When the long-anticipated analysis finally shows no significant effect, is all lost?
Should we have known better before, i.e. was the experiment/survey bound to yield a non-significant finding?
And when can we turn the weakness into a strength and make the case for "there is no effect" / "we refuted the hypothesis" the main selling point of our paper?
In this workshop we'll be looking at power analyses for studies, before and after carrying them out. At how to deal with the situation that our results are "inconclusive". And also at situations in which a "negative result" was actually desired in the first place.
Facilitator: Prof. Carsten Dormann (Chair of Biometry and Environmental System Analysis)