any means by which latent variables (factors) are extracted or identified in factor analysis. Widely used factor methods include principal components analysis, which seeks to find a set of linear combinations called components that help explain the correlations among variables; and principal-axis factor analysis, in which underlying dimensions or factors are sought to explain the correlations among variables after separating out communality and putting aside the error variance in a set of variables.