A Class of Factor Analysis Estimation Procedures with Common Asymptotic Sampling Properties

A. J. Swain

51 citations0/0 files storedPsychometrika

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical and numerical algorithms

Abstract

A general class of estimation procedures for the factor model is considered. The procedures are shown to yield estimates possessing the same asymptotic sampling properties as those from estimation by maximum likelihood or generalized least squares, both of which are special members of the class. General expressions for the derivatives needed for Newton-Raphson determination of the estimates are derived. Numerical examples are given, and the effect of the choice of estimation procedure is discussed.

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1972Factor Analysis as a Statistical Method.1967Some Contributions to Maximum Likelihood Factor Analysis 1973Factor Analysis as a Statistical Method.1972Factor Analysis as A Statistical Method.1940VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood 1972Factor Analysis as a Statistical Method. 2nd ed.1968A Comparison of Factor Analytic Techniques 1971FACTOR ANALYSIS BY GENERALIZED LEAST SQUARES

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