5 ms·
>They calculated 11 p-values, and got a significant result for two of them under α=0.1. We'd expect that that to happen about half the time if the null hypothes
by pliny 7y ago
>They calculated 11 p-values, and got a significant result for two of them under α=0.1. We'd expect that that to happen about half the time if the null hypothesis is true.
Not true:
> Pairwise comparisons
were used to explore significant effects, and were corrected
for type 1 errors using Bonferroni adjustment
- mumblemumble 7y agoAha. That's what I get for jumping straight to the regression table. So I retract my attempt to suggest that this was a fishing expedition. That said, I'm still inclined to say that, even given the Bonferroni adjustment, the distribution of results looks more like what I'd expect under the null hypothesis. It's hard to imagine that all these tests they used are uncorrelated.
- gus_massa 7y agoI counted 18 p values (12 + (2+2) + 2), one with * (p<0.05) and three with # (p<0.10). In the sentence about the Bonferroni adjustment, I don't understand what "pairwise" mean. (I understand the word, I just don't understand how it is applied. They have 12 quite correlated test. In the correction, are they using m=2 or m=12? Are they correcting only the test that have two subtest?)