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st: Treating ind. vars in logit


From   Athinagoras Konstantinidis <athikons@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Treating ind. vars in logit
Date   Sat, 20 Apr 2013 14:44:10 +0100

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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