An Empirical Study of Related Correlation Coefficients

John E. Boyer, Albert D. Palachek and William R. Schucany

Journal of Educational and Behavioral Statistics, 1983, vol. 8, issue 1, 75-86

Abstract: Tests for comparing the strength of association between a variable, X 1 , and each of two potential predictor variables, X 2 and X 3 , are proposed and examined in a simulation study. The variances of X 2 and X 3 and the correlation between X 2 and X 3 are nuisance parameters. A simple modification of a test proposed by Williams (1959) is found to have reasonable properties for a wide range of parameter values and both normal and nonnormal distributions.

Keywords: Correlation coefficient; normal scores; hypothesis testing; approximately distribution-free (search for similar items in EconPapers)
Date: 1983
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:8:y:1983:i:1:p:75-86

DOI: 10.3102/10769986008001075

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