Accession Number : AD0724327

Title :   Efficiency of Estimation when there is only One Common Factor.

Descriptive Note : Technical rept.,

Corporate Author : EDUCATIONAL TESTING SERVICE PRINCETON N J

Personal Author(s) : Lord,Frederic M. ; Wingersky,Marilyn S.

Report Date : MAR 1971

Pagination or Media Count : 13

Abstract : 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, MATHEMATICAL PREDICTION), ANALYSIS OF VARIANCE, DECISION THEORY, PSYCHOLOGICAL TESTS, SAMPLING

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE