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What is post hoc Bonferroni?
Bonferroni Procedure (Bonferonni Correction) This multiple-comparison post hoc correction is used when you are performing many independent or dependent statistical tests at the same time. The problem with running many simultaneous tests is that the probability of a significant result increases with each test run.
What is a Bonferroni post hoc comparison?
A Bonferroni test is perhaps the simplest post hoc analysis. A Bonferroni test is a series of t-tests performed on each pair of groups. As we discussed earlier, the number of groups quickly grows the number of comparisons, which inflates Type I error rates.
What is the parametric equivalent of the Wilcoxon signed-rank test?
It is the nonparametric equivalent of the parametric paired t-test. This is not the same as the Wilcoxon rank sum test, which compares two nonpaired groups and is equivalent to the parametric unpaired t-test. The Wilcoxon signed rank is more powerful than the sign test.
Which is an extension of the Wilcoxon signed rank test?
The Friedman test is an extension of the Wilcoxon signed-rank test and carries all of the assumptions of that test described earlier with the additional assumption of sphericity.
Which is the best test for boneferroni correction?
I would suggest a general modified Bonferroni procedure such as Holm test or Hochberg test.
Can a Bonferroni correction be used for AFAIK?
Afaik, LSD and HSD don’t apply here because there is no studentized test statistic, so Bonferroni/Holm/Hochberg/Benjamini/Yekutieli are the only ways to correct the family of p-values. MCPs like Bonferroni, Holm, Tukey, Dunnett do control the FWER. There is no significant ANOVA required to achieve this.
Do you need to correct Alpha with Bonferroni?
I then run a Wilcoxon rank sum test to compare, for each behaviour, the averages of durations, obtaining 12 p values, some of which are significant (values lower than alpha=0.05 ) The reviewer says that I need to correct alpha with Bonferroni, as I’m performing a multiple testing.