R: st: R: Treating ind. vars in logit

["Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>]

Oops...misread!
Thanks to Richard for ponting this out.

Best,
Carlo




-----Messaggio originale-----
Da: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Richard Williams
Inviato: sabato 20 aprile 2013 16:36
A: statalist@hsphsun2.harvard.edu
Oggetto: Re: st: R: Treating ind. vars in logit

For ordinal dependent variables, yes. But in this case the dependent
variable is binary and the independent variables are ordinal.

Sent from my iPad

On Apr 20, 2013, at 10:29 AM, "Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>
wrote:

> Athinagoras may be interested in taking a look at -help ologit-  and 
> click on [R] ologit.
> 
> 
> Kind Regads,
> Carlo
> 
> 
> 
> 
> 
> -----Messaggio originale-----
> Da: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Athinagoras 
> Konstantinidis
> Inviato: sabato 20 aprile 2013 15:44
> A: statalist@hsphsun2.harvard.edu
> Oggetto: st: Treating ind. vars in logit
> 
> Hello,
> 
> My DV is a binary variable (Yes/No) and I am using a logit regression 
> analysis.
> 
> As for my independent variables,there are three I'm primarily interested
in.
> They are all ordinal categorical variables,each of which is of the form:
> 
> Strongly Agree
> Agree
> Indifferent
> Disagree
> Strongly Disagree
> 
> Whats the best way to include those variables in the model?
> 
> I could arbitrarily plug some ordered values to each answer (e.g. -10 
> for "Strongly Disagree", -5 for "Disagree", 0 for "Indifferent", etc).
> 
> I could create dummies for each category and put them into the regression.
> 
> Or,finally, I could create one dummy for each variable which divides 
> the categories in half and put them into the regression e.g. dummy=1 if
("Str.
> agree" or "Agree") and dymmy=0 if ("Indif." or "Disagree" or "Str.
> Disagree")
> 
> Which one of the three would you propose I do or, do you recommend any 
> other alternatives?
> 
> Appreciate your time.
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