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RE: st: Spearman correlations with survey data
From
"Lachenbruch, Peter" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Spearman correlations with survey data
Date
Thu, 8 Nov 2012 17:26:40 +0000
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: [email protected] [[email protected]] on behalf of Nick Cox [[email protected]]
Sent: Thursday, November 08, 2012 1:58 AM
To: [email protected]
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 <[email protected]> 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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