Computational Formulas for Multivariate Strength of Association from Approximate F and χ2Tests
- 1 April 1991
- journal article
- Published by Taylor & Francis in Multivariate Behavioral Research
- Vol. 26 (2) , 227-245
- https://doi.org/10.1207/s15327906mbr2602_2
Abstract
There are numerous occasions, in conducting a priori, prospective power analyses for example, in which a measure of multivariate strength of association is desired but cannot be recovered from published research reports. Measures of multivariate strength of association, defined as a function of the eigenvalues of Q-1 EQH or (QE + QH)-1QH, may be computed in conjunction with any of four multivariate test statistics. A large majority of research publications that perform multivariate analyses do not report a measure of strength of association, nor do they report sufficient information to compute multivariate measures of strength of association. Most manuscripts, however, do typically report F-test or χ2 approximations with associated degrees of freedom. In this article we develop computational formulas for recovering measures of strength of association from approximate F and χ2 tests associated with four multivariate test statistics.Keywords
This publication has 25 references indexed in Scilit:
- Estimators for Two Measures of Association for Set CorrelationEducational and Psychological Measurement, 1984
- Set Correlation As A General Multivariate Data-Analytic MethodMultivariate Behavioral Research, 1982
- Some Symmetric, Invariant Measures of Multivariate AssociationPsychometrika, 1979
- Canonical correlation analysis: A general parametric significance-testing system.Psychological Bulletin, 1978
- MEASURING THE RELATIONSHIP BETWEEN TWO SETS OF VARIABLESBritish Journal of Mathematical and Statistical Psychology, 1974
- Eta-Squared and Partial Eta-Squared in Fixed Factor Anova DesignsEducational and Psychological Measurement, 1973
- Measures of Association in Comparative Experiments: Their Development and InterpretationAmerican Educational Research Journal, 1969
- Multiple regression as a general data-analytic system.Psychological Bulletin, 1968
- RELATIONS BETWEEN TWO SETS OF VARIATESBiometrika, 1936
- An Unbiased Correlation Ratio MeasureProceedings of the National Academy of Sciences, 1935