Some new results on correlation-preserving factor scores prediction methods

J.M.F. Ten Berge, W.P. Krijnen, T.J. Wansbeek, A. Shapiro

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Anderson and Rubin and McDonald have proposed a correlation-preserving method of factor scores prediction which minimizes the trace of a residual covariance matrix for variables. Green has proposed a correlation-preserving method which minimizes the trace of a residual covariance matrix for factors. Krijnen, Wansbeek and Ten Berge have proposed minimizing the determinant rather than the trace of the latter covariance matrix, and offered an iterative procedure to that effect. In the present paper it is shown that the iterative procedure can be replaced by a closed-form solution. When all unique variances are strictly positive, this solution is the same as McDonald's, The solution coincides with Green's solution in certain special cases, for instance, when the factors are orthogonal. (C) 1999 Published by Elsevier Science Inc. All rights reserved.

Original languageEnglish
Pages (from-to)311 - 318
Number of pages8
JournalLinear Algebra and Its Applications
Issue number1-3
Publication statusPublished - 1-Mar-1999


  • factor analysis
  • factor scores
  • correlation-preserving
  • unbiased

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