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Azen, Razia; Budescu, David V. – Journal of Educational and Behavioral Statistics, 2006
Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R[squared] contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria…
Descriptors: Multivariate Analysis, Predictor Variables, Multiple Regression Analysis, Comparative Analysis