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ERIC Number: EJ363000
Record Type: Journal
Publication Date: 1987
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: N/A
EISSN: N/A
Factor Analysis and AIC.
Akaike, Hirotugu
Psychometrika, v52 n3 p317-32 Sep 1987
The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)
Descriptors: Bayesian Statistics, Factor Analysis, Mathematical Models, Maximum Likelihood Statistics, Selection
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A