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A general approach to nonlinear factor analysis

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  • Roderick McDonald

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Suggested Citation

  • Roderick McDonald, 1962. "A general approach to nonlinear factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 27(4), pages 397-415, December.
  • Handle: RePEc:spr:psycho:v:27:y:1962:i:4:p:397-415
    DOI: 10.1007/BF02289646
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    References listed on IDEAS

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    1. W. Gibson, 1960. "Nonlinear factors in two dimensions," Psychometrika, Springer;The Psychometric Society, vol. 25(4), pages 381-392, December.
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    Cited by:

    1. Roderick McDonald, 1986. "Describing the elephant: Structure and function in multivariate data," Psychometrika, Springer;The Psychometric Society, vol. 51(4), pages 513-534, December.
    2. Joseph Kruskal & Roger Shepard, 1974. "A nonmetric variety of linear factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 39(2), pages 123-157, June.
    3. Nicola Borri & Denis Chetverikov & Yukun Liu & Aleh Tsyvinski, 2024. "One Factor to Bind the Cross-Section of Returns," Papers 2404.08129, arXiv.org.
    4. Jamshid Etezadi-Amoli & Roderick McDonald, 1983. "A second generation nonlinear factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 48(3), pages 315-342, September.
    5. Roderick McDonald, 2011. "Measuring Latent Quantities," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 511-536, October.
    6. Daniel B. McArtor & Gitta H. Lubke & C. S. Bergeman, 2017. "Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 1052-1077, December.
    7. William Meredith, 1965. "Some results based on a general stochastic model for mental tests," Psychometrika, Springer;The Psychometric Society, vol. 30(4), pages 419-440, December.
    8. Lee, Sik-Yum & Song, Xin-Yuan, 2003. "Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 125-142, October.

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