The Comparison of Interdependent Correlations between Optimal Linear Composites
PsychometrikaPublished 1 March 1984
James H. Steiger, Michael W. Browne
Citations60
SJR quartileQ1
SJR score1.90
SNIP2.06
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Abstract
A general procedure is provided for comparing correlation coefficients between optimal linear composites. The procedure allows computationally efficient significance tests on independent or dependent multiple correlations, partial correlations, and canonical correlations, with or without the assumption of multivariate normality. Evidence from some Monte Carlo studies on the effectiveness of the methods is also provided.
Keywords
MathematicsPhysics and Astronomy
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