Heterogeneous correlations and estimates of required sample size in factor analysis

Abstract

Factor matrices with various patterns of loadings were constructed to study the effect of heterogeneous correlations on estimates of the minimal number of subjects in factor analysis. The tabled values of appropriate ratios of number of subjects to number of variables presented in a previous article were shown to furnish rather accurate estimates over the range of factorial patterns studied.