Amen! In fact, tests on Spearman coefficients are notoriously sensitive to normality. An article by Egon Pearson in Biometrika in the 1970s showed this clearly. Sorry i don't have the reference at hand.
Peter A. Lachenbruch,
Professor (retired)
________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Nick Cox [njcoxstata@gmail.com]
Sent: Thursday, November 08, 2012 1:58 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Spearman correlations with survey data
Spearman correlation is just Pearson correlation applied to ranks, so
ranking first (use -egen-) gets you from one to the other. Otherwise
P-values for correlations are over-rated in my view, whether in -svy-
contexts or otherwise.
Others should have comments on the -svy- aspects.
Nick
On Thu, Nov 8, 2012 at 5:42 AM, Lee Grenon <lgrenon@sfu.ca> wrote:
> I am interested in calculating Spearman correlations for complex survey data. As I understand, I can calculate Pearson correlations using corr with aweight for the coefficients and then calculate the p-values using svy: regress y x and svy: regress x y then selecting the larger p-value. Is there a way of calculating Spearman correlations using a survey weight and bootstrap weights?
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