Mastering Kendall's Tau Rank Correlation Analysis in R

The Kendall's tau rank correlation coefficient can be easily calculated in R using the cor.test()-function. In addition the argument method="kendall" is required within cor.test().
➡️ Watch next:    • p value calculation for Kendall tau c...  

Please keep in mind that the calculation is for Kendall's tau b by default, which occupies the major part of this video. The calculation of Kendall's tau c will also be shown with the help of the DescTools-package.

Furthermore I will elaborate on classifying the magnitude of your correlation aka. effect.

For the latter I will also refer to Cohen (1992): A Power Primer and the thresholds provided, mainly applicable for the behavioral sciences.


📚 Literature
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📚 Cohen, J. (1992): Quantitative methods in psychology: A power primer. Psychological bulletin, pp. 155-159.


⏰ Timestamps:
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0:00 Introduction and three variations of Kendall's tau
0:28 Calculating Kendall's tau b using cor.test() in R
0:54 One-sided vs. two-sided testing
1:47 Interpretation: I) p value
2:19 Interpretation: II) correlation coefficient r
2:41 Interpretation: III) effect size classification
3:09 Calculating Kendall's tau c

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