Canonical Analysis and Factor Comparison, Issue 6
An advanced study which presumes a knowledge of multiple regression and factor analysis techniques, this paper considers two techniques for comparing entire sets of data, and develops the canonical correlation model as an extension of regression analysis in which there are several dependent variables.
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Factor Comparison Techniques
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Ahmavaara alternative ANALYSIS AND FACTOR analyze assume between-set calculate canonical analysis canonical correlation analysis canonical routine canonical variates Cattell chi-square compared computational convergence Cooley and Lohnes correlation matrix Darlington dependent variables diagonal diagonal matrix discussed distributed empirical equation example extracted factor analysis factor comparison techniques factor loading factor matrix factor scores factor structures GNP/POP groups hypothesis independent Leo Burnett linear combinations mathematical matrices of weights measures method minimum of p,q missing data Modals multivariate nations number of variables one's original variables orthogonal Procrustes pairwise deletion paper Pearsonian Percent of trace principal components analysis procedures Psychological Psychometrika 29 reader redundancy coefficients regression analysis researcher rotation Rummel Sariss set trace set variate sets of variables significant solutions SPSS standard deviation statistically significant structure matrix substantive interpretation suggest Table target analysis tests of significance tion trace coefficient transformation matrix zero
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