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Efficiency of Estimation When There is Only One Common Factor [microform] / Frederic M. Lord and Marilyn S. Wingersky
Bib ID 5222955
Format BookBook, MicroformMicroform, OnlineOnline
Author
Lord, Frederic M
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1971 
17 p. 
Summary

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)

Notes

Sponsoring Agency: Office of Naval Research, Washington, DC. Psychological Sciences Div.

Sponsoring Agency: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Factor Analysis.  |  Factor Structure.  |  Mathematical Models.  |  Mathematics.  |  Sampling.  |  Statistical Analysis.  |  Statistics.
Other authors/contributors Wingersky, Marilyn S., author  |  Educational Testing Service, Princeton, NJ
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