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Re: p value for spearman's correlation

From: John Darrington
Subject: Re: p value for spearman's correlation
Date: Sun, 27 Dec 2020 12:22:49 +0100
User-agent: Mutt/1.10.1 (2018-07-13)

On Sat, Dec 26, 2020 at 07:58:40PM -0600, Alan Mead wrote:
     This paper,, suggests that the test
     is flawed both in small samples and in samples with distinctly
     non-normal underlying data. I don't know what it means to be "normally
     distributed" for ranks... Ranks are always distributed uniformly unless
     there are ties. Their method is implemented in the 'perk' library and is
     also a sampling/resampling approach.

This is a criticism of fundamentals of the test itself, rather than
its implementation.

     Alternatively, I wouldn't be upset if PSPP refuses to print any p-value
     for N < 30. I think ideally we would add a keyword requesting a more
     advanced algorithm.

I think this is probably the best course of action at least in the short

     Finally, I don't think any of this discussion bears on why the p-value
     is missing from the Pearson r in CROSSTABS.

True.  We need to look into that as well.


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