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st: R: Treating ind. vars in logit


From   "Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: R: Treating ind. vars in logit
Date   Sat, 20 Apr 2013 16:29:28 +0200

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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