Influential Observations in Principal Factor Analysis

Abstract

We propose a method for detecting influential observations in iterative principal factor analysis. For this purpose we derive the influence functions I ( x; LL T ) and I ( x; Δ ) for the common variance matrix T = LL T and the unique variance matrix Δ, respectively, in the common factor decomposition Σ = LL T + Δ. A numerical example is given for illustration.