Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
"Justina Fischer" <[email protected]> |

To |
[email protected] |

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

Date |
Sat, 13 Oct 2012 18:29:24 +0200 |

That is an interesting source I am happy to have a look at. Justina -------- Original-Nachricht -------- > Datum: Sat, 13 Oct 2012 07:32:55 -0700 > Von: William Buchanan <[email protected]> > An: "[email protected]" <[email protected]> > Betreff: Re: st: Checking to see if the association between two variables is linear or otherwise > I'm not sure which suggesting you're referencing. All I did was mention > that there was an example of a similar idea in one of the Stata Press books > and made no qualitative assumptions regarding the merits and/or shortcomings > of the methodology. > > -Billy > > Sent from my iPhone > > On Oct 13, 2012, at 0:25, "Justina Fischer" <[email protected]> wrote: > > > your suggestion does not resolve the problem that years sof education > measure degree very inacurately. > > > > In A US context, 12 and 16 years of education most likely relate to > high school degree and bachelor's degree attained four years later. > > > > That Mitchel find splines at these nots suggests that using > educational-level-dummies is a very good idea indeed. > > > > Justina > > > > -------- Original-Nachricht -------- > >> Datum: Fri, 12 Oct 2012 20:25:54 -0700 > >> Von: William Buchanan <[email protected]> > >> An: "[email protected]" <[email protected]> > >> Betreff: Re: st: Checking to see if the association between two > variables is linear or otherwise > > > >> It's one of the examples in Michael Mitchell's book on data > visualization. > >> He used knots at 12 and 16 years of education to illustrate how you > could > >> use splines and the different commands to show the different > relationships > >> between years of education and earnings. > >> > >> - Billy > >> > >> Sent from my iPhone > >> > >> On Oct 12, 2012, at 20:04, "JVerkuilen (Gmail)" <[email protected]> > >> wrote: > >> > >>> On Fri, Oct 12, 2012 at 10:46 PM, David Kantor <[email protected]> > 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 > >>> [email protected] > >>> > >>> "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 > >>> * > >>> * For searches and help try: > >>> * http://www.stata.com/help.cgi?search > >>> * http://www.stata.com/support/faqs/resources/statalist-faq/ > >>> * http://www.ats.ucla.edu/stat/stata/ > >> > >> * > >> * For searches and help try: > >> * http://www.stata.com/help.cgi?search > >> * http://www.stata.com/support/faqs/resources/statalist-faq/ > >> * http://www.ats.ucla.edu/stat/stata/ > > * > > * For searches and help try: > > * http://www.stata.com/help.cgi?search > > * http://www.stata.com/support/faqs/resources/statalist-faq/ > > * http://www.ats.ucla.edu/stat/stata/ > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Checking to see if the association between two variables is linear or otherwise***From:*Amal Khanolkar <[email protected]>

**Re: st: Checking to see if the association between two variables is linear or otherwise***From:*"Justina Fischer" <[email protected]>

**RE: st: Checking to see if the association between two variables is linear or otherwise***From:*Amal Khanolkar <[email protected]>

**Re: RE: st: Checking to see if the association between two variables is linear or otherwise***From:*"Justina Fischer" <[email protected]>

**Re: RE: st: Checking to see if the association between two variables is linear or otherwise***From:*David Kantor <[email protected]>

**Re: RE: st: Checking to see if the association between two variables is linear or otherwise***From:*"JVerkuilen (Gmail)" <[email protected]>

**Re: st: Checking to see if the association between two variables is linear or otherwise***From:*William Buchanan <[email protected]>

**Re: st: Checking to see if the association between two variables is linear or otherwise***From:*"Justina Fischer" <[email protected]>

**Re: st: Checking to see if the association between two variables is linear or otherwise***From:*William Buchanan <[email protected]>

- Prev by Date:
**Re: st: Normally distributed error term & testing normality of residuals** - Next by Date:
**RE: st: Normally distributed error term & testing normality of residuals** - Previous by thread:
**Re: st: Checking to see if the association between two variables is linear or otherwise** - Next by thread:
**Re: RE: st: Checking to see if the association between two variables is linear or otherwise** - Index(es):