Statistical inference of minimum rank factor analysis

Psychometrika

Volumn 67, Issue 1, 2002, Pages 79-94

  Shapiro, Alexander ^a   Ten Berge, Jos M F ^b  

^a Georgia Institute of Technology   (United States)

^b UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

Asymptotic bias; Asymptotic normality; Communalities; Explained common variance; Factor analysis; Large samples asymptotics; Proper solutions; Semidefinite programming

Indexed keywords

EID: 0036011443     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02294710     Document Type: Article

References (19)

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3. To what extent can communalities reduce rank?
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5. Some contributions to maximum likelihood factor analysis
6. On the rank of reduced correlation matrices in multiple factor analysis
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8. Rank reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis
9. Identifiability of factor analysis: Some results and open problems
10. The asymptotic bias of minimum trace factor analysis, with applications to the greatest lower bound to reliability
11. Some recent developments in factor analysis and the search for proper communalities
12. Linking reliability and factor analysis:recent developments in some classical psychometric problems
13. A numerical approach to the exact and the approximate minimum rank of a covariance matrix
14. Computational aspects of the greatest lower bound to reliability and constrained minimum trace factor analysis