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Tagged with friedman-test multiple-comparisons
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Alternative to Nemenyi posthoc test that can use variance
I am applying statistical tests from paper "Statistical Comparisons of Classifiers over Multiple Data Sets" J. Demsar (link) in my own work. However, variance is pretty important, since ...
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Post-hoc tests after Friedman test
In Statistical Comparisons of Classifiers over Multiple Data Sets (p. 12) Janez Demsar suggests to use the Bonferroni-Dunn test as a post-hoc test after the null hypothesis of an initial Friedman test ...
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Friedman's test is very significant, but its post hoc comparisons are not significant
This post does not include an answer for my question.
I have perform a Friedman test on a results obtained by several methods on multiple datasets, as described in this paper: "Statistical ...
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Should I rank my data before doing post hoc Dunn test?
I am trying to compare multiple algorithms using the Friedman test and post hoc Dunn test. I know that we should use the rank of our data before performing the Friedman test, but should we rank the ...
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Kruskal-Wallis test for ranking data
I have a complex experimental design where there are 3 groups, and in each group, a ranking/comparison is made between items (list of items). Each ranking is associated with 9 measurements on a 5 ...
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How to obtain the results of the Nemenyi post-hoc test in a table showing grouped pairs?
I performed a Friedman's test, which showed that there are differences among my treatments. Thus, I choose to perform the Nemenyi's post-hoc test in order to infer which treatments statistically ...
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How to interpret the result of Friedman's test?
I uploaded the data and then I used bootstrapping to have 10 different samples from the original data but with the same length as the original data. For each sample, I used 7 distance metrics, and I ...
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Why run a post hoc wilcoxon signed rank test after Friedman test, why not just skip to Wilcoxon sign test instead?
I understand that one is required to run post hoc tests after the Friedman test. For example, while the Friedman test may find a statistically significant change amongst 3 treatments, one may follow ...
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Friedman's test is very significant, but its post hoc comparisons (SPSS) are not significant
I ran a non-parametric Friedman's test for my data in SPSS 22 and significantly rejected the null. That would mean that among the $k$ paired samples (3 in my case), there should be detected at least ...
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Significant Friedman's test vs. non-significant multiple comparisons
I am currently running a randomized, placebo-controlled, cross-over design for a new type of intervention. This intervention is compared to a placebo and another more conventional type of treatment. ...
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