VikeMan
It ain't all burritos and strippers, my friend.
- Joined
- Aug 24, 2010
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Truth is you're proving my point...it doesn't matter what I think, they are using the current accepted research practice of P=.05 and they are clear with how many participants are required to show statistical significance based on the P value. In every single article they state the number needed to show statistical significance based on the P value of .05.
That's not entirely correct. p<0.05 simply means that "significance" has not been reached. It does not necessarily mean there's a difference. And p >= 0.05 does not necessarily mean there's not a difference. Any scientist or statistician will agree with what I just said. All it actually tells you, vis-a-vis a potential difference in triangle testing, is how likely it was (assuming no difference) that "X" number (or more) would have made the correct selection.
I do not believe any legitimate research paper would take a p value of 0.10 and say "... indicating participants were unable to reliably distinguish..."
They would very likely say "failed to reach significance" and leave it at that, because people who read those papers (not hobbyists) know exactly what that means. There's no need to add the misleading words "... indicating participants were unable to reliably distinguish..." when it is not likely that there was no difference.