A Second Generation Nonlinear Factor Analysis
- 1 September 1983
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 48 (3) , 315-342
- https://doi.org/10.1007/bf02293678
Abstract
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.Keywords
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