
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 factoranalysis 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