Effective use of Spearman's and Kendall's correlation coefficients for association between two measured traits

@article{Puth2015EffectiveUO,
  title={Effective use of Spearman's and Kendall's correlation coefficients for association between two measured traits},
  author={Marie-Therese Puth and Markus Neuh{\"a}user and Graeme D. Ruxton},
  journal={Animal Behaviour},
  year={2015},
  volume={102},
  pages={77-84}
}
We examine the performance of the two rank order correlation coefficients (Spearman's rho and Kendall's tau) for describing the strength of association between two continuously measured traits. We begin by discussing when these measures should, and should not, be preferred over Pearson's product–moment correlation coefficient on conceptual grounds. For testing the null hypothesis of no monotonic association, our simulation studies found both rank coefficients show similar performance to… 
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