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Testing a simple structure hypothesis in factor analysis

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Abstract

It is assumed that the investigator has set up a simple structure hypothesis in the sense that he has specified the zero loadings of the factor matrix. The maximum-likelihood method is used to estimate the factor matrix and the factor correlation matrix directly without the use of rotation methods, and the likelihood-ratio technique is used to test the simple structure hypothesis. Numerical examples are presented.

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References

  1. Anderson, T. W.An introduction to multivariate statistical analysis. New York: Wiley, 1958.

    Google Scholar 

  2. Anderson, T. W. and Rubin, H. Statistical inference in factor analysis. In J. Neyman (Ed.),Proceedings of the third Berkeley symposium on mathematical statistics and probability. Vol. V. Berkeley: Univ. Calif. Press, 1956, 111–150.

    Google Scholar 

  3. Box, G. E. P. A general distribution theory for a class of likelihood criteria.Biometrika, 1949,36, 317–346.

    Google Scholar 

  4. Davidon, W. C. Variable metric method for minimization. A.E.C. Research and Development Report, ANL 5990, Argonne National Laboratory, 1959.

  5. Finkel, R. W. The method of resultant descents for the minimization of an arbitrary function. Paper 71, Preprints of Papers Presented at 14th National Meeting of Association of Computing Machinery, 1959.

  6. Howe, W. G. Some contributions to factor analysis. Report No. ORNL-1919. Oak Ridge National Laboratory, Oak Ridge, Tenn., 1955.

    Google Scholar 

  7. Jöreskog, K. G.Statistical estimation in factor analysis. Stockholm: Almqvist & Wiksell, 1963.

    Google Scholar 

  8. Jöreskog, K. G. Computer program for estimating and testing a simple structure hypothesis in factor analysis. Res. Memo. 65-3. Princeton, N.J.: Educ. Test. Serv., 1965.

    Google Scholar 

  9. Jöreskog, K. G. On rotation to a specified simple structure. Res. Bul. 65-13. Princeton, N. J.: Educ. Test. Serv., 1965.

    Google Scholar 

  10. Lawley, D. N. Estimation in factor analysis under various initial assumptions.Brit. J. statist. Psychol., 1958,11, 1–12.

    Google Scholar 

  11. Lawley, D. N. and Maxwell, A. E.Factor analysis as a statistical method. London: Butterworths, 1963.

    Google Scholar 

  12. Reiersøl, O. On the identifiability of parameters in Thurstone's multiple factor analysis.Psychometrika, 1950,15, 121–149.

    Google Scholar 

  13. Spang, H. A. III. A review of minimization techniques for nonlinear functions.SIAM Rev., 1962,4, 343–365.

    Google Scholar 

  14. Thurstone, L. L.Multiple-factor analysis. Chicago: Univ. Chicago Press, 1947.

    Google Scholar 

  15. Wilks, S. S. The large-sample distribution of the likelihood ratio for testing composite hypotheses.Ann. math. Statist., 1938,9, 60–62.

    Google Scholar 

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The work was supported by a grant (NSF-GB 1985) from the National Science Foundation to Educational Testing Service. Reproduction in whole or in part for any purpose of the United States Government is permitted.

The work was carried out when the author was Visiting Research Statistician at Educational Testing Service. The author wishes to thank Dr. Frederic M. Lord for many helpful suggestions throughout the course of this study.

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Jöreskog, K.G. Testing a simple structure hypothesis in factor analysis. Psychometrika 31, 165–178 (1966). https://doi.org/10.1007/BF02289505

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  • DOI: https://doi.org/10.1007/BF02289505

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