This paper develops a maximum likelihood based methodology for simultaneously performing multidimensional unfolding and cluster analysis on two-way dominance or profile data. This new procedure utilizes mixtures of multivariate conditional normal distributions to estimate a joint space of...

Network analysis has become a popular method for identifying the communication structure in a system where positional and relational aspects are important. In this paper, a maximum likelihood based methodology is presented that allows for the analysis of binary sociometric data. This methodology...

Latent Class Multidimensional Scaling Models (LCMDS hereafter) have been widely used in the marketing and psychometric literature to capture consumerspreference heterogeneity and market structure simultaneously. In LCMDS analysis, two types of utility models, the vector and the ideal point...