Feature Pattern Analysis for Polytomous Items
نویسندگان
چکیده
Feature Pattern Analysis (FPA), as a part of the theory of data (Coombs, 1964), can be interpreted as a formal model of some procedures frequently applied in the behavioral and social sciences, e.g., for Guttman scaling, Parallelogram Analysis, Likert scaling, the Semantic Differential, and the Kelly Grid. FPA may also be used as a scaling procedure for nominal and ordinal data with qualitative and quantitative attributes, and dichotomous as well as polytomous items. The categories of the latter may be orde-
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