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Re: RE: st: Checking to see if the association between two variables is linear or otherwise


From   "Justina Fischer" <JAVFischer@gmx.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: RE: st: Checking to see if the association between two variables is linear or otherwise
Date   Sat, 13 Oct 2012 09:17:22 +0200

Hi David,

when reading my post carefully until the end you would have noticed that I suggested to employ a set of dummy variables based on educational level. 

Cheers

Justina


-------- Original-Nachricht --------
> Datum: Fri, 12 Oct 2012 22:46:12 -0400
> Von: David Kantor <kantor.d@att.net>
> An: statalist@hsphsun2.harvard.edu
> Betreff: Re: RE: st: Checking to see if the association between two  variables is linear or otherwise

> At 07:46 PM 10/12/2012, Justina Fischer wrote:
> >Hi Amal,
> >
> >from the education-growth literature I know that using educational 
> >levels is preferred over years in education....years in education 
> >can be very misleading (if you skipped classes, repeated classes, 
> >dropped out, etc). In addition, it is the degree that qualifies you 
> >for (certain) jobs.
> >[...]
> 
> I agree, noting that highest grade attained is better than years in 
> education, but it is still not appropriate, as it is not an interval 
> scale. The "same" increments between values do not have the same
> significance.
> For example, the significance of the increment from grade 11 to 12 is 
> not the same as from 10 to 11.
> HTH
> --David
> 
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