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A Second Generation Nonlinear Factor Analysis
Jamshid Etezadi-Amoli, Roderick P. McDonald
Journal:

Psychometrika / Volume 48 / Issue 3 / September 1983

Published online by Cambridge University Press:

01 January 2025, pp. 315-342
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Nonlinear common factor models with polynomial regression functions, including interaction terms, are fitted by simultaneously estimating the factor loadings and common factor scores, using maximum-likelihood-ratio and ordinary-least-squares methods. A Monte Carlo study gives support to a conjecture about the form of the distribution of the likelihood-ratio criterion.

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