Comparing Partial Rank Order Correlations From Contingency Table Data
This article describes an asymptotic method for obtaining estimates of variance and covariance for partial rank order correlation coefficients based on contingency table data The approach used is an extension of the Grizzle, Starmer, and Koch technique for the analy sis of complex contingency tables The variance and co variance estimates may be used to test hypotheses concerning the partial correla tions