Linked Questions
14 questions linked to/from Effect size to Wilcoxon signed rank test?
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How best to present paired Wilcoxon test [duplicate]
I created a survey to find out if people spent more time in their gardens in 2020 when compared to 2019. I did a paired sample Wilcoxon test to compare the two and found a significant difference but ...
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Calculating effect size + 95 CIs for median differences (SPSS)
I've got a mixture of parametric and non-parametric data, with a repeated measures design; measuring animal behaviour in three different treatments.
For parametric data, it's simple enough calculating ...
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Effect size for Wilcoxon signed rank test that incorporates the possible range of the attribute
I'm currently working on my master thesis and I'm analysing attributes obtained from digital elevation models (DEMs). I try to compare two point sets for which I extracted altitude values from two DEM ...
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Effect size estimation for nonpar-test. Does anybody know the mathematical derivation of r=z/sqrt(N) ? (Rosenthal 1991)
In order to calculate an effect size estimator for a non-parametric test such as the Wilcoxon test, the following formula is applied:
$ r= \frac{Z}{\sqrt{N}} $
This formula is suggested by several ...
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how do I calculate effect size for data based on Wilcoxon signed ranks test [duplicate]
How do I calculate effect size for data based on Wilcoxon signed ranks test. Any step-by-step guidelines? What software should I use?
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Effect size and standard error for Mann-Whitney U statistic
I'm conducting a meta-analysis and one of the studies only reports Mann-Whitney $U$ statistic. The table with results is pasted below.
Circled in red is the $U$ statistic that tests the differences ...
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1
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What to do with a very big sample size? (effect size) [duplicate]
We have a peculiar problem, for which we have many questions, but cannot seem to find satisfactory answers (we did find a few ideas as to what to do, but we are not very certain they apply to our ...
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Non-parametric effect size: probability of superiority?
Here it is suggested to use the Hodges-Lehmann estimator. However, I have just read (source) that this estimator is not reliable for skewed distributions. This is the case for the data I have - I know ...
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Is it possible to calculate cohen's d from nonparametric statistics?
I am working on my thesis and my supervisor wanted me to calculate cohen's d for my significant results. I am using SPSS and I was able to calculate Cohen's d using an external site.
My independent ...
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teststatistic vs linearstatistic in wilcoxsign_test
In R, wilcoxsign_test in library coin calculates both a "teststatistic" (output as "Z") and a "linearstatistic" (I think this is ...
12
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4
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How to correct for small p-value due to very large sample size
I am running into a problem where an independent variable, which should have no predictive power on the dependent variable based on domain knowledge, comes out with very small p-value because the ...
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How to determine the effect size of a Wilcoxon rank-sum test in R?
I want to determine if there's a difference in mean p-values between two groups. In order to do this I perform a Wilcoxon's rank-sum test (the data is not normally distributed). So far, so good. ...
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How do you calculate the effect size of one-sample Wilcoxon signed-rank test?
Can you / how do you calculate the effect of a one-sample Wilcoxon signed-rank test?
Is there a way to perform the calculation in SPSS or another software package?
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How to report effect size measures r and r-squared and what is a non-technical explanation of them?
If $r$ is the effect size for the correlation between $A$ and $B$, then $r^2$ is the amount of variance in $B$ that can be attributed to variable $A$.
Is it important to report both indexes in a ...