Highest Column Entry Hierarchical Clustering a Redevelopment and Elaboration of Elementary Linkage Analysis

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Abstract
A relatively reliable and valid hierarchy of clusters of objects is plotted from the highest column entries, exclusively, of a matrix of interassociations between the objects. Having developed out of a loose definition of types, the method isolates both loose and highly definitive types, and all those in between. Results from one kind of test items produces a matrix of interassociations between interpersonal concepts over emotions for every individual. The above results indicate that the pairs of concepts between which the highest entries mediate report a wealth of information about the emotional organization of interpersonal concepts. Highest column entry pairs of concepts can serve as items in building a test to assess individual differences in an area of behavioral organizations.

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