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0 votes
1 answer
90 views

How to interpret results of differences of differences in interactions?

I have a dataset composed of 2 factors of several levels each (i.e. exercise[A-B-C] x muscle [1-2-3-4-5-6]. I'm interested on the effect of the different exercises (A,B,C) on the muscle activation ...
gcim82's user avatar
  • 11
2 votes
0 answers
116 views

How to adjust ratings of N items by pairwise comparisons

I have been keeping a list of movies I've seen in a spreadsheet and assigning them numerical rankings that approximate how I feel about them. A few years ago I implemented a program to read in the ...
Pavel Komarov's user avatar
4 votes
0 answers
238 views

multiple Kruskal-Wallis instead of ANOVA for non-normally distributed data

Apologies in advanced if I supply too little or vague information, since I am a complete newbie in stats and using this forum. So I did a study which evaluated psychopathic personality traits, ...
debbiemaycry's user avatar
2 votes
0 answers
57 views

group comparisons - normality of the distribution

When comparing 3 different groups on a certain variable and one of the groups does not have a normal distribution (as verified by the Shapiro test) whilst the other to do, would you think it is best ...
J. Ferreira's user avatar
2 votes
1 answer
3k views

what test to use for comparing count data across multiple groups

I have five groups of students and 40 in each. And we counted the number of references spelling mistakes in their homework. We would like to compare to see if there exists any groups differences in ...
cplus's user avatar
  • 229
4 votes
1 answer
10k views

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 ...
user6306773's user avatar
0 votes
1 answer
22 views

Multiple Comparisons test strategy

I have a test data with 3452 subjects , I have 5 different algorithms that detect the presence or absence of a disease. ...
Ezra Polson's user avatar
1 vote
1 answer
164 views

multiple comparison for discrete nonparametric distributions

I have $N=24$ controls and $M=10$ patients. ($M$ can be $20$ later.) Each subject has one $3D$ image, each element of the image is a discrete value (integer) ranging from $0$ to $4$ $[0,1,2,3,4]$. It'...
Sophie Spring's user avatar
0 votes
2 answers
2k views

Pairwise non-parametric test for small sample sizes

I was asked to check a small dataset (3 replicates for 5 treatments, each) for significant outcome differences. I give an example: The variance within replicates in the data cannot be assumed equal, ...
nouse's user avatar
  • 258
4 votes
0 answers
543 views

Multiple comparison of non-normal, heteroscedastic data. What test should I use?

I have a set of brain pathology data. These were obtained by counting certain parameters in the brain. Due to availability of human brains, the amount of cases vary a lot across the different groups ...
hintursul's user avatar
0 votes
0 answers
398 views

Kruskal-Wallis post hoc comparisons different results in different software used

I'm having some trouble analyzing my data because when I use StatSoft Statistica and run a Kruskal-Wallis, I get one set of values for multiple comparisons, but when the same analysis is run in XLSTAT ...
praznin's user avatar
  • 81
5 votes
2 answers
5k views

Any other non-parametric alternative to Kruskal-Wallis?

It looks like Kruskal-Wallis is the standard nonparametric test for more than two groups. The problem is that it does not tell which groups are different, except that whether there exists significant ...
MLister's user avatar
  • 185
2 votes
2 answers
98 views

Multiple models compared over same data

My question boils down to if I really have to use a multiple comparison adjustment or not, and if so, how I can do this to retain as much power as possible. I have multiple models (say 5) that are ...
user3534094's user avatar
2 votes
0 answers
339 views

Multiple comparisons on nested subsets of data for a non-parametric test

My problem: I'm using data sets where some are nested in a non-parametric test that expects independent data sets. How can I correct for that in a way that is reasonable? Or even better: What would ...
Sentry's user avatar
  • 602
12 votes
1 answer
10k views

Multiple comparisons in a non-parametric test

I am working with a data set that is non-parametric and has 12 treatments. I performed the Kruskal-Wallis test and got a significant $p$-value, and now I would like to conduct a multiple comparisons ...
jesse's user avatar
  • 121

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