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September 1, 1988Psychometrika

FACAIC: Model Selection Algorithm for the Orthogonal Factor Model using AIC and CAIC

Hamparsum Bozdogan Donald E. Ramirez

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Abstract

This paper describes the authors' FORTRAN algorithm FACAIC for choosing the number of factors for an orthogonal factor model using Akaike's Information Criterion. FACAIC utilizes the IMSL subroutine OFCOMM.

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Cite This Study

Bozdogan et al. (1988) studied this question.

synapsesocial.com/papers/6a7fb1a528ca633895ec9f36 https://doi.org/10.1007/bf02294221

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Factor Analysis and AICOriginal Research · 1987 · 5,257 citations
2Estimating the Dimension of a ModelOriginal Research · 1978 · 46,931 citations
3The Varimax Criterion for Analytic Rotation in Factor AnalysisReview · 1958 · 7,587 citations
4A new look at the statistical model identificationReview · 1974 · 51,779 citations
5A Newton-Raphson Algorithm for Maximum Likelihood Factor AnalysisOriginal Research · 1969 · 96 citations

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