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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