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st: RE: Measures of association for a small sample


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Measures of association for a small sample
Date   Tue, 10 Jan 2012 07:31:36 -0800

If you have the entire population, why do you need significance tests?  Isn't the measure sufficient?

________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] On Behalf Of Francisco Rowe [frowe@ucn.cl]
Sent: Tuesday, January 10, 2012 4:35 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: Measures of association for a small sample

Hi,

Sorry for taking advantage of statalist for this -I am trying to measure the association between two variables with a reduced number of observations (13) which constitutes my entire population.

I have utilised pairwise correlation coefficients (pwcorr) and regression using an Iteratively Reweighted Least Squares (IRLS) estimation (rreg) (on cross-sectional data). However, given some of the assumptions of these measures, the results can be questioned. For this reason, I would like to implement some additional tests or measures on my data.

Would it be possible to have some guidance on this?
Are regressions based on IRLS useful in this context?
Which non-parametric measure can it be useful?

Thanks in advance.

Francisco.
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