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
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