Closeness to Identity: A Conceptual Framework for the Definition and Interpretation of Correlations

Abstract

This paper introduces a way of understanding correlation coefficients based on the notion of scaled-score similarity (i.e., closeness to identity). It is suggested that the proposed framework has intuitive appeal. It points to the equivalence among various correlation coefficients by showing that correlation problems involve the notion of agreement between interval or ordinal measures expressed on different scales.