A set of multivariate “Q-techniques” are described which can help avoid some of the pitfalls and increase the power of the more popular R methods and bivariate approaches. Techniques such as cluster analysis, inverse factor analysis, hierarchical clustering, and multidimensional scaling are discussed along with a related set of measurement and hypothesis testing options.
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Danny Miller (1978) studied this question.
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