“…Manton, Woodbury, and Tolley (1994) have developed a general grade-of-membership (GoM) model that extends the latent class framework to include the identification of objects as mixtures of an arbitrary number of latent nominal categories. This general GoM model has been used in a wide range of empirical applications to determine latent mixtures from high dimensional discrete multivariate data (e.g., Berkman, Singer, & Manton, 1989;Blazer et al, 1989;Ventrees & Manton, 1986;Woodbury & Manton, 1982).…”