Abstract
Two important problems in the analysis of categorical questionnaire data are considered: assessment of question worth and variable selection, and discrete discriminant analysis when the data is nonordinal with many states and few respondents. The unifying approach used throughout is the concept of information theoretic distance measures. Simulations and applications to real data are presented.
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