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Date:         Wed, 26 Nov 2003 12:31:54 -0500
Reply-To:     "Burleson,Joseph A." <burleson@up.uchc.edu>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         "Burleson,Joseph A." <burleson@up.uchc.edu>
Subject:      Re: Testing differences between categorical variables
Comments: To: Katherine <karin8@pacific.net.sg>
Content-Type: text/plain; charset="us-ascii"

Katherine:

You might consider a 2 (A or not) X 2 (B or not) X 4 (ethnicity) log linear analyses (not logistic regression), sometimes called multiway frequency analysis. This is the more general formula under which logistic regression is one type. Here, no one variable is the dependent variable, and the main effects (departure from 1:1 ratio) of each variable, as well as the 3 2-way and 1 3-way interaction can be assessed. The 2-way interaction between the A X B is probably well understood already. Your interest would center around the A X Ethnicity, B X Ethnicity, and the A X B X Ethnicity. A whole series of model testing can be done.

There are many good references, but Tabachnick & Fidell (4th ed.) (~2001) Using multivariate statistics, is a good primer & synopsis, while Agresti (1990) Categorical data analysis, Wiley-Interscience, is technical and complete. My favorite, however, is still Wickens. T. D., Multiway contingency tables analysis for the social sciences (1980), Erlbaum. He has wonderful examples, and sets a more moderate pace.

-Joe Burleson

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Katherine Sent: Wednesday, November 26, 2003 3:52 AM To: SPSSX-L@LISTSERV.UGA.EDU Subject: Testing differences between categorical variables

Dear List members,

I am trying to run a test which measures differences between 2 groups of categorical variables. For example, I would like to find out the differences of four different blood type (A,B, AB,O) between four races (White, Chinese, Malay, Indian).

Is there any statistical method to use in such situation besides testing of column proportions?

Thanks so much in advance.

Regards,

Katherine


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