FACAIC: model selection algorithm for the orthogonal factor model using AIC and CAIC

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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Bibliographische Detailangaben
Veröffentlicht in:	Psychometrika 1988-09, Vol.53 (3), p.407-415
Hauptverfasser:	BOZDOGAN, H, RAMIREZ, D. E
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Fundamental and applied biological sciences. Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Statistics. Mathematics
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	0033-3123 1860-0980
DOI:	10.1007/BF02294221