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

Published online by Cambridge University Press:  01 January 2025

Hamparsum Bozdogan  and
Donald E. Ramirez
Hamparsum Bozdogan*
Affiliation:
Department of Mathematics, University of Virginia
Donald E. Ramirez
Affiliation:
Department of Mathematics, University of Virginia
*
Requests for reprints should be sent to Hamparsum Bozdogan, Department of Mathematics, University of Virginia, Charlottesville, VA 22903.
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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.

Keywords

factor analysis algorithmchoosing the number of factorsAIC and CAIC

Information

Type
Computational Psychometrics
Information
Psychometrika , Volume 53 , Issue 3 , September 1988 , pp. 407 - 415
Copyright
Copyright © 1988 The Psychometric Society

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Footnotes

The authors dedicate this algorithm to Professor Hirotugu Akaike in appreciation of his pioneering work on AIC which was originally intended for the factor analysis and other statistical model identification problems.

References

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