A Method of Cluster Analysis When There Exist Multiple Indicators of a Theoretic Concept
Lawrence S. Mayer · Biometrics · 1971
pertains to a single theoretic concept, this concept has beeni made operational by several different measurements. The measures may or may not be highly correlated, but it is assumed that one measure is of primary importance while the other measures are of secondary importance. Several other clustering methods are discussed in relation to the proposed problem. An application of the proposed method is given which demonstrates that the procedure works well with large sainples. It also shows that the procedulre works well when, althou-gh the set of measurements conitains only one theoretic concept, it contains more than one empirical dimension.