On Weighted G Analysis

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Abstract
An analytic method for discriminating between clinical subgroups is introduced. It is based on a weighted G index and is therefore called weighted G analysis. In this analysis group weights for the various items are determined, after which a Q analysis is run on the analysis group. Scores in the factors for imagined delegates of the clinical subgroups are computed, after which scores of the individuals in a validation group are computed. Using a distance-based placement system, the persons in the validation group are placed into subgroups. For a specific set of empirical data with normals and schizophrenics as subgroups, 31 of 32 subjects were placed correctly.

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