ERIC Number: ED053166
Record Type: RIE
Publication Date: 1971-Mar
Pages: 17
Abstractor: N/A
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Efficiency of Estimation When There is Only One Common Factor.
Lord, Frederic M.; Wingersky, Marilyn S.
Explicit formulas are derived for the asymptotic sampling variances and covariances of the maximum likelihood estimators for factor-analysis parameters in the special case where there is just one common factor. The effect of the number of variables on these variances and covariances is indicated. A formula is given showing to what extent the usual covariance between two of a set of variables can be estimated more efficiently when there is known to be just one common factor. (Author)
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Mathematics, Sampling, Statistical Analysis, Statistics
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: Office of Naval Research, Washington, DC. Psychological Sciences Div.; Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Educational Testing Service, Princeton, NJ.
Grant or Contract Numbers: N/A
Author Affiliations: N/A