Abstract
The purposes of this study are 1) to propose methods for assessing the effectiveness of different dimensional analysis methods, and 2) to examine evidence in one sample for the relative effectiveness of principal components analysis and nonmetric multidimensional scaling of marketing survey data. Criteria for the quality of dimensional solutions are defined from a measure of simple structure. The criteria are demonstrated in one marketing research panel data set. In this data set, neither the type of proximity measure (Pearson or gamma correlation coefficients) nor the dimensional analysis technique (principal components or nonmetric multidimensional scaling) significantly affected any of the criteria of solution quality.
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