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Educational and Psychological Measurement
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Characterizing and Circumventing Simpson's Paradox for Ordered Bivariate Data

Paul R. Yarnold

Northwestern University Medical School and University of Illinois at Chicago

This article addresses the characterization and circumvention of Simpson's paradox in designs involving two ordered variables and illustrates the recommended procedure using a two-sample application involving the estimation of correlation and a single subject application involving the estimation of lag(1) autocorrelation.

Educational and Psychological Measurement, Vol. 56, No. 3, 430-442 (1996)
DOI: 10.1177/0013164496056003005
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