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Cited by 8,714

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Rationale and Test for the Number of Factors in Factor Analysis

Horn, John L.·1965·Psychometrika
DOI 10.1007/bf02289447
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Abstract

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 of random variables is given for estimating the component which needs to be subtracted.

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Show all 1 references

Research works printed but not linked: 5

  1. Anderson, 1958, An introduction to multivariate statistical analysis
  2. Kendall, 1958, The advanced theory of statistics (Vols. I and II)
  3. [4] Kaiser, H. The application of electronic computers to factor analysis. (Paper read at a symposium on application of computers to psychological problems. Meeting of Amer. Psychol. Ass., 1959).
  4. [2] Dickman, K. W. Factorial validity of a rating instrument. Unpublished doctoral dissertation, Univ. Illinois, 1960.
  5. Rao, 1952, Advanced statistical methods in biometric research

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Metadata

Authors
Horn, J. L.
Venue
Psychometrika
Publisher
Cambridge University Press (CUP)
Published
1965-06
Volume
30
Issue
2
Pages
179-185
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
DOI
10.1007/bf02289447
OpenAlex
W2088477804
Cited by
8,714
References
1
FWCI
10.61
Type
journal article
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified, 21764 d)

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