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Re: st: From: Abekah Nkrumah <ankrumah@gmail.com>


From   Maarten Buis <maartenlbuis@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: From: Abekah Nkrumah <ankrumah@gmail.com>
Date   Thu, 2 May 2013 15:34:54 +0200

Siginificant means that the deviations from the null hypothesis you
find is unlikely to be the result of the randomness due to sampling.
So if you have a large enough sample almost everything you find will
be "significant", but that does not tell you much. That is just a
limitation of statistical testing.

-- Maarten


On Thu, May 2, 2013 at 3:16 PM,  <owner-statalist@hsphsun2.harvard.edu> wrote:
> I have estimated OLS and Probit models using pooled cross-country
> datasets. Due to the pooling of data from multiple countries I have a
> very large obervations (N). I am wondering if there is any additional
> test I may have to run to ensure that my estimates are not merely
> significant because of the large N
>
> Regards
>
> --
> *************************************************************
> Grace and Peace be Multiplied to you through
> the knowledge of our Lord and Saviour Jesus Christ
>
> **********************************************
> Dept. of Public Admin & Health Serv. Mgt
> University of Ghana Business School
> P.O. Box LG 78
> Legon-Accra
> Ghana
> Tel: ++ 233 21 500159 Ext. 6247
>        ++ 233 21 502258 Ext. 6247
>        ++ 233 21 502255 Ext. 6247
> Cell: ++233 243 198 313
>
> Email: gankrumah@ug.edu.gh
>            ankrumah@gmail.com
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-- 
---------------------------------
Maarten L. Buis
WZB
Reichpietschufer 50
10785 Berlin
Germany

http://www.maartenbuis.nl
---------------------------------
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