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Numerical methods for polynomial models in nonlinear factor analysis

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Abstract

The basic concepts of nonlinear factor analysis are introduced and some extensions of the general theory are developed. An elementary account of the class of multiple-factor polynomial models is presented, using more elementary algebraic methods than have been employed in earlier accounts of this theory. Working formulas are developed for the multiple-factor polynomial model without product terms.

Some empirical results are presented.

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Authors and Affiliations

  1. University of New England, N.S.W., Australia

    Roderick P. McDonald

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  1. Roderick P. McDonald
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Additional information

This work was carried out while the author was a Visiting Research Fellow at the Educational Testing Service, Princeton, N. J. It made use of computer facilities at Princeton University that are supported in part by National Science Foundation Grant NSF-Gp579.

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McDonald, R.P. Numerical methods for polynomial models in nonlinear factor analysis. Psychometrika 32, 77–112 (1967). https://doi.org/10.1007/BF02289406

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  • DOI: https://doi.org/10.1007/BF02289406

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