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