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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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/