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RANK ORDER CLUSTER ANALYSIS 1
Author(s) -
Bromley D. B.
Publication year - 1966
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1966.tb00359.x
Subject(s) - cluster (spacecraft) , rank (graph theory) , simple (philosophy) , function (biology) , order (exchange) , mathematics , combinatorics , statistics , computer science , biology , epistemology , finance , philosophy , evolutionary biology , economics , programming language
The relations between clusters and factors arc described and discussed. A method of rank order cluster analysis (abbreviated ROCA) is compared and contrasted with factor analysis; it appears to be effective in detecting clusters of functionally similar variables and defining the common function of each cluster. The method is simple and may prove to have some advantages for psychologists, although the end result of the analysis is a classification by functions and not components.