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| From | Yuval Arbel <yuval.arbel@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: RE: Mean test in a Likert Scale |
| Date | Mon, 3 Sep 2012 07:54:09 -0700 |
Nick and Maarten, Note, that Kmenta's message is to prefer models with less restrictions. Moreover, are you suggesting we can deal in the same manner with quantitative values and ordinal variables? if our independent variables are what subjects marked on a questionnaire on a scale between 1 to 5 is the statistical treatment within a regression analysis framework should be identical to an independent variable measured in US dollars? On Mon, Sep 3, 2012 at 2:27 AM, Maarten Buis <maartenlbuis@gmail.com> wrote: > On Mon, Sep 3, 2012 at 11:01 AM, Nick Cox wrote: >> Econometricians' practice seems almost invariably looser than that -- >> and a good thing too -- although the idea that an analysis is correct >> or incorrect, and no shades of grey, still seems pervasive. > > What amuses me are the occasional reference to "correct models", which > is just a contradiction in terms. A model is by definition a > simplification of reality, and simplifying reality is really central > to what a model is. If reality where so simple we could understand it > without simplification we would not need a model. However, > simplification is just another word for "wrong in some useful way". So > a correct model either does not simplify and is thus not a model, or > it is not as correct as the author thinks it is. > > -- Maarten > > --------------------------------- > Maarten L. Buis > WZB > Reichpietschufer 50 > 10785 Berlin > Germany > > http://www.maartenbuis.nl > --------------------------------- > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ -- Dr. Yuval Arbel School of Business Carmel Academic Center 4 Shaar Palmer Street, Haifa 33031, Israel e-mail1: yuval.arbel@carmel.ac.il e-mail2: yuval.arbel@gmail.com * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/