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ERIC Number: EJ749040
Record Type: Journal
Publication Date: 2006-Sep
Pages: 8
Abstractor: Author
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0033-3123
Might "Unique" Factors Be "Common"? On the Possibility of Indeterminate Common-Unique Covariances
Grayson, Dave
Psychometrika, v71 n3 p521-528 Sep 2006
The present paper shows that the usual factor analytic structured data dispersion matrix lambda psi lambda' + delta can readily arise from a set of scores y = lambda eta + epsilon, shere the "common" (eta) and "unique" (epsilon) factors have nonzero covariance: gamma = Cov epsilon,eta) is not equal to 0. Implications of this finding are discussed for the indeterminacy of factor scores, and for the issue of invariance of factor analytic covariance models. The size of the problem is explored with numerical examples.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A