Abstract
Jackson (1975) suggested a two step procedure for analysis of multitrait-multimethod matrices: (1) The trait measures within each method are transformed into principal components, which are then rotated to maximize the correlations with the original trait measures; (2) A principal components analysis is applied to the intercorrelation matrix of these variables. A third step, suggested here, transforms the solution to a classical multiple group factor analysis. A reanalysis of two numerical illustrations shows that the classical procedure yields similar results.
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