This paper provides a general Structural Equation finite Mixture Model and algorithm (STEMM). Substantively, the model allows the researcher to simul­taneously treat heterogeneity and form groups in the context of a postulated causal (i.e., simultaneous equation regression) structure in which...

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

The vast majority of existing multidimensional scaling (MDS) procedures devised for the analysis of paired comparison preference/choice judgments are typically based on either scalar product (i.e., vector) or unfolding (i.e., ideal-point) models. Such methods tend to ignore many of the essential...

This paper presents a new stochastic multidimensional scaling procedure for the analysis of three-mode, three-way pick any/ J data. The method provides either a vector or ideal-point model to represent the structure in such data, as well as “floating” model specifications (e.g., different...

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...

Should advertising be approached differently in emerging than in developed markets? Using data from 256 TV commercial tests conducted by a multinational FMCG company in 23 countries, we consider two routes of persuasion: a functional route, which emphasizes the features and benefits of a...

Past research in marketing and psychology suggests that pricing structure may influence consumers' perception of value. In the context of two commonly used pricing schemes, pay-per-use and two-part tariff, we evaluate the impact of pricing structure on consumer preferences for access services....

We introduce a multi-attribute model that generalizes the multinomial logit model by introducing one additional parameter. It captures framing and context effects, and allows violations of regularity, independence of irrelevant alternatives and order independence. Conceptually, the model...