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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 09:20:16 +0200

see my post to David's comment. His critique applies only if educational levels are employed as continuous variable, which I never suggested.

Justina


-------- Original-Nachricht --------
> Datum: Fri, 12 Oct 2012 23:04:33 -0400
> Von: "JVerkuilen (Gmail)" <jvverkuilen@gmail.com>
> An: statalist@hsphsun2.harvard.edu
> Betreff: Re: RE: st: Checking to see if the association between two variables is linear or otherwise

> On Fri, Oct 12, 2012 at 10:46 PM, David Kantor <kantor.d@att.net> wrote:
> 
> > 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.
> 
> Interesting point. I bet this could probably be ameliorated using
> regression splines with knots at key grade milestones.
> 
> Jay
> -- 
> JVVerkuilen, PhD
> jvverkuilen@gmail.com
> 
> "Out beyond ideas of wrong-doing and right-doing there is a field.
> I'll meet you there. When the soul lies down in that grass the world
> is too full to talk about." ---Rumi
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