Reporting Paired Samples Wilcoxon-test - results from SPSS

// Reporting Paired Samples Wilcoxon-test - results from SPSS //

The output of the Kruskal-Wallis-Test in SPSS provides most of the things you need for reporting.

The calculation of effect sizes has to be done by hand, which I have shown extensively in this video:    • Effect size of the Paired Samples Wil...  

First, report the paired Wilcoxon-test itself, which compares the medians of the two measurements with eachother.
Second, in the case of a significant difference, report the effect size r.

The reporting is limited to the essentials: z-value including degrees of freedom, p-value and effect size. The latter is also to be classified, preferably with comparable studies or researc field specific thresholds. Optionally you can use Cohen (1992): A Power Primer.


Sample formulation:
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"The repititions counted before (MDN = 22) and after the training (MDN = 25) indicate an
Improvement in the median number of pushups, with Z (49) = -5.47; p ◀ .001; r = 0.77,
representing a large effect, according to Cohen (1992)."


⏰ Timestamps:
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0:00 Introduction, prerequisites and overview
0:19 Paired Wilcoxon-test results
0:39 Effect size r


If you have any questions or suggestions regarding the write-up for the paired Wilcoxon-test, please use the comment function. Thumbs up or down to decide if you found the video helpful.
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