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Factor Analysis of the Image Correlation MatrixUniversity of California, Berkeley
University of California, Berkeley The factor analysis of the image correlation matrix is suggested. Whether to factor the image correlation matrix itself or to proceed via a new model with an alpha (common) factor analysis of it is mentioned, with particular reference to the determinacy problem. The transformation (rotation) problem, in the oblique case, has a new aspect, for which a tentative resolution is proposed. It is pointed out that the distribution of the images is sensibly multivariate normal, making for "better" factor analyses.
Educational and Psychological Measurement, Vol. 39, No. 4,
711-714 (1979) |
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