28 Apr '12, 10pm

SEOmoz | The Science of Ranking Correlations: How Does PageRank Perform?:

So for the first part, I did not claim that Pearson is better suited here than Spearmans. My claim was that the justification as stated in the article was not correct. While we can argue the validity of each test, it still seems to me that the explanation that says that we use Spearman instead of Pearson because "link counts are generally exponentially correlated" is wrong. If we know that the link counts are exponentially correlated (or any other variable), there would be no need to establish independence. The rank correlation is used when we don't know whether variables are correlated and want to test that null hypothesis. Furthermore, the fact that Spearman deals with ranked data (either because that is its nature or because we ranked it so we can perform Spearman's on it) already tells us that the correlation (if existing) will be linear, hence the nickname of Spearman...

Full article: http://www.seomoz.org/blog/the-science-of-ranking-correla...

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