Hostname: page-component-5f745c7db-rgzdr Total loading time: 0 Render date: 2025-01-06T22:30:20.342Z Has data issue: true hasContentIssue false

Some Properties of Two Measures of Multivariate Association

Published online by Cambridge University Press:  01 January 2025

Willem van den Burg*
Affiliation:
University of Groningen
Charles Lewis
Affiliation:
Educational Testing Service
*
Requests for reprints should be sent to Willem van den Burg, Department of Neuropsychology, Neurological Clinic, Oostersingel 59, 9713 EZ Groningen, THE NETHERLANDS.

Abstract

Two kinds of measures of multivariate association, based on Wilks' Λ and the Bartlett-Nanda-Pillai trace criterion V, respectively, are compared in terms of properties of the univariate R2 which they generalize. A unified set of derivations of the properties is provided which are self-contained and not restricted to decompositions in canonical variates. One conclusion is that a symmetric index based on Λ allows generalization of the multiplicative decomposition of R2 in terms of squared partial correlations, but not the additive decomposition in terms of squared semipartial correlations, while the reverse is true for an asymmetric index based on V.

Type
Original Paper
Copyright
Copyright © 1988 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

We are indebted to Jos M. F. ten Berge for some fruitful discussions.

References

Anderson, T. W. (1984). An introduction to multivariate statistical analysis 2nd. ed.,, New York: Wiley.Google Scholar
Cohen, J. (1982). Set correlation as a general multivariate data-analytic method. Multivariate Behavioral Research, 17, 301341.CrossRefGoogle ScholarPubMed
Cohen, J., Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences 2nd. ed.,, Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Cohen, J., Nee, J. (1983). CORSET: A FORTRAN program for set correlation. Educational and Psychological Measurement, 43, 817820.CrossRefGoogle Scholar
Cramer, E. M., Nicewander, W. A. (1979). Some symmetric invariant measures of multivariate association. Psychometrika, 44, 4354.CrossRefGoogle Scholar
Darlington, R. B., Weinberg, S. L., Walberg, H. J. (1973). Canonical variate analysis and related techniques. Review of Educational Research, 43, 433454.CrossRefGoogle Scholar
Finn, J. D. (1974). A general model for multivariate analysis, New York: Holt, Rinehart & Winston.Google Scholar
Hooper, J. W. (1959). Simultaneous equations and canonical correlation theory. Econometrica, 27, 245256.CrossRefGoogle Scholar
Hooper, J. W. (1962). Partial trace correlations. Econometrica, 30, 324331.CrossRefGoogle Scholar
Hotelling, H. (1936). Relations between two sets of variates. Biometrika, 28, 321377.CrossRefGoogle Scholar
Kendall, M., Stuart, A. (1979). The advanced theory of statistics, Vol. 2, London: Griffin.Google Scholar
Kshirsagar, A. N. (1972). Multivariate analysis, New York: Dekker.Google Scholar
Olson, C. L. (1976). On choosing a test statistic in multivariate analysis of variance. Psychological Bulletin, 83, 579586.CrossRefGoogle Scholar
Olson, C. L. (1979). Practical considerations in choosing a MANOVA test statistic: A rejoinder to Stevens. Psychological Bulletin, 86, 13501352.CrossRefGoogle Scholar
Rozeboom, W. W. (1965). Linear correlations between sets of variables. Psychometrika, 30, 5771.CrossRefGoogle ScholarPubMed
Serlin, R. C. (1982). A multivariate measure of association based on the Pillai-Bartlett procedure. Psychological Bulletin, 91, 413417.CrossRefGoogle Scholar
Stevens, J. (1979). Comment on Olson: Choosing a test statistic in multivariate analysis of variance. Psychological Bulletin, 86, 355360.CrossRefGoogle Scholar
Stewart, D., Love, W. (1968). A general canonical correlation index. Psychological Bulletin, 70, 160163.CrossRefGoogle ScholarPubMed
Timm, N. H. (1975). Multivariate analysis, Monterey, CA: Brooks/Cole.Google Scholar
Tyler, D. E. (1982). On the optimality of the simultaneous redundancy transformations. Psychometrika, 47, 7786.CrossRefGoogle Scholar
Wilks, S. S. (1932). Certain generalizations in the analysis of variance. Biometrika, 24, 471494.CrossRefGoogle Scholar
Wright, E. M. J., Manning, W. H., Dubois, P. H. (1959). Determinants in multivariate correlation. Journal of Experimental Education, 27, 195202.CrossRefGoogle Scholar