All Questions
Tagged with friedman-test wilcoxon-signed-rank
18
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Statistical test for unequal sample sizes of repeated measures (non-parametric)
I'm looking to understand the differences between various sources (50) that evaluate an event based on 8 ordinal scales (varying from 2 to 4 values) associated with a discrete score between 0 and 10, ...
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2
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2
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73
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How should I analyze data that is paired and also repeatedly measured?
I have data collected from the same subjects (n=10) over 11 days, with measurements taken under two conditions each day: immediately after training(D0) and 30 minutes after training(D30). The data is ...
- 21
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1
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74
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How to run Wilcoxon signed-rank test for pairwise comparison of two factors with three variables each?
I performed a study where I took 9 measurements from each participant for 2 factors (time/ location) and 3 variables each. These created the following combinations:
T1L1, T1L2, T1L3, T2L1, T2L2, T2L3, ...
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3
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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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50
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Friedman test_multiplicity
I'm performing Friedman test to see if there is a difference between 8 treatments, then if it is significant I'll do Wilcoxon signed rank test to see which pair is significant. I wonder if I should ...
- 11
2
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1
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452
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Which statistical method can be used to compare the values of the same variables measured from different views?
I got a biological data set, where I need to run a statistical analysis on.
The data was created on a mass spectrometer and contains the intensity values for around one hundred lipids.
The analysis ...
0
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0
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447
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Statistical significance test for 5-fold cross validation on a single dataset
I have used stratified 5-fold cross validation to generate five data folds to compare several (N) deep learning models on a single dataset. Now, I have the fold-wise test accuracies for all of the ...
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3
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556
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What does it mean if Nemenyi test does not return that the performance of two methods are significantly different while the Wilcoxon test does?
I want to compare the performance of $N$ methods on $m$ datasets. I performed the Friedman test and after that the Nemenyi test.
The Nemenyi test is though not powerful enough to conclude that there ...
- 131
1
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1
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30
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Can I use `wilcox_test()` to compar multiple means without `friedman_test()`?
In this example,use friedman_test() first to find significant difference between group,and then use ...
- 294
2
votes
1
answer
553
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How to run Friedman test correctly across three sets of questionnaire data divided into sub-groups?
I am trying to evaluate the usability of three prototypes of an application and want to see if there is a significant difference in terms of usability.
For this I have collected responses from users ...
- 21
1
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1
answer
3k
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Bonferroni correction for Wilcoxon signed rank test with 6 related samples?
I am comparing scores of the same group of people over 7 days. I first did a Friedman's test to know where the differences were between the 7 days and I did a Wilcoxon signed rank test for the Post ...
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2
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2k
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Friedman test and Wilcoxon
I recently conducted research where I have chosen the Friedman nonparametric test to check if there are significant differences in dependent variable values obtained on 4 different occasions.
I find ...
1
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0
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210
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Dealing with non-significant results in the Wilcoxon signed rank test
A little background:
I'm trying to create a weighted formula for artists telling me how good they are based on the ratings I assign them for different characteristics they have. Basically I'm going ...
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2
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36
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Survey on how frequently a group use a particular device: Which analysis methods?
I surveyed a group of photographers and asked them how frequently they used a particular type of lens for a specific type of photograph. I now want to find out which lens or lenses are the most ...
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3
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6k
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Which within-subject non-parametric test?
I have to do a non-parametric test on data because the distribution is not normal. The data is about the effectiveness of 2 different Aphasia therapies.
There are 54 Aphasia patients tested before ...
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