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Association coefficients of identity and proportionality for metric scales
Authors:Robert F. Fagot  Robert M. Mazo
Affiliation:(1) Institute of Theoretical Science, University of Oregon, USA;(2) Department of Psychology, University of Oregon, 97403 Eugene, Oregon
Abstract:Zegers' (1986) chance-corrected coefficients of association are derived by alternative methods. A different definition of chance correction is used. It is shown that our correction and that of Zegers are identical for large samples. Three possible assumptions for the derivation of metric coefficients are examined. The first, variable reflection, formulated by Zegers and ten Berge (1985), leads to coefficients that require chance-correction. Two other assumptions, zero covariance and covariance reflection, are proposed and it is shown that the latter two assumptions lead directly to coefficients of identity and proportionality that do not require chance correction (i.e., are identical to the Zegers, 1986, corrected coefficients).We are indebted to Robyn M. Dawes, Carnegie-Mellon University, for stimulating our interest in this project, and for helpful suggestions.
Keywords:association coefficient  metric scales  Pearsonr  product-moment correlation
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