K-sample marginal homogeneity test

Posted by Kirill Orlov on Mar 24, 2016; 6:52am
URL: http://spssx-discussion.165.s1.nabble.com/K-sample-marginal-homogeneity-test-tp5731806.html

What are your thoughts about how one can perform K-related-samples marginal homogeneity analysis in SPSS?

Marginal homogeneity test is "repeated-measures ANOVA" for nominal categorical response. SPSS has such test in Nonparametrics, but it is for 2 related samples only. But I want an omnibus result for 3+ samples at once. SPSS has, in K-related samples, Cochran's Q analysis - put it is restricted for dichotomous responce only, while I have >2 nominal responses.

What are your thoughts? Is there a procedure in SPSS to K-related-samples marginal homogeneity analysis? I.e. to compare margial distributions in a (hyper)cubic frequency table with all dimensions defined by the same 3+ categories (such as Yes, No, DontKnow; or whatever). For example, could Loglinear or GEE be used for such a task? Or do you know a user-written syntax somewhere?

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