A rationale and test for the number of factors in factor analysis
@article{Horn1965ARA, title={A rationale and test for the number of factors in factor analysis}, author={J. Horn}, journal={Psychometrika}, year={1965}, volume={30}, pages={179-185} }
It is suggested that if Guttman's latent-root-one lower bound estimate for the rank of a correlation matrix is accepted as a psychometric upper bound, following the proofs and arguments of Kaiser and Dickman, then the rank for a sample matrix should be estimated by subtracting out the component in the latent roots which can be attributed to sampling error, and least-squares “capitalization” on this error, in the calculation of the correlations and the roots. A procedure based on the generation… CONTINUE READING
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