Re: Analysis with Categorical Independent and Dependent Variables

Posted by Ryan on Nov 15, 2012; 5:03am
URL: http://spssx-discussion.165.s1.nabble.com/Analysis-with-Categorical-Independent-and-Dependent-Variables-tp5716193p5716206.html

A generalized logit model would be an appropriate place to start. Incorporate interaction terms judiciously. Be aware of cell sample sizes, as others have pointed out.

Ryan

On Nov 14, 2012, at 10:33 AM, "Dates, Brian" <[hidden email]> wrote:

I’ve had a question from a former student who has been asked, as a legislative aide, to analyze data from a legislative district. All variables are categorical.  For example, he would like to know what the effect of Religion (Roman Catholic, Maronite, Chaldean, Melkite, Other), Gender (Male, Female), Education (Less than High School, High School, Some College, Completed College, Advanced Degree), and Age Group (18-25, 26-54, 55 or older) had on voting behavior (Obama, Romney, Other). Factorial logistic regression would be in order if the dependent variable was dichotomous, or at least that’s my understanding.  But it’s not, and there will be other analyses in which the dependent will have more than three categories. Any ideas would be welcome.  Thanks.

 

 

Brian G. Dates

Director of Evaluation and Research

Southwest Counseling Solutions

1700 Waterman

Detroit, MI     48209

313-841-7442

[hidden email]

 

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