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Re: st: RE: Measures of association for a small sample


From   Francisco Rowe <frowe@ucn.cl>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Measures of association for a small sample
Date   Wed, 11 Jan 2012 09:24:39 +1000

Hi all,

Thanks for your all valuable comments (thanks David for the interesting links).

When I talked about population -please correct me if I am wrong- I refer to census data on the labour force for the total number of regions (13) of country which are my aim of study.

Does it still apply as population? or should I say sample, so I need statistical tests?



On 11/01/2012, at 9:01 AM, Steve Samuels wrote:

> 
> I believe that Francisco used the word "population" in a loose sense, because he didn't realize that it has a technical meaning in statistics.  I think he means "sample".  To solve his problem I suggest -spearman- or -ktau-.  
> 
> Steve
> 
> 
> On Jan 10, 2012, at 10:31 AM, Lachenbruch, Peter wrote:
> 
> 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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