Generalized Structured Component Analysis (GSCA) was recently introduced by Hwang and Takane (2004) as a component-based approach to path analysis with latent variables. The parameters of GSCA are estimated by pooling data across respondents under the implicit assumption that they all come from...

Competitive asymmetry is defined in terms of the directional level of competition among brands/firms (i.e., unit of analysis), where the degree to which brand/firm A may compete with brand/firm B does not equal the degree to which brand/firm B competes with brand/firm A. Such a market structure...

Paul Green, writing with Carmone and Wachpress (1976), was among the first scholars to introduce latent variable models to marketing by utilizing the CANDECOMP procedure (Carroll 1980) on contingency tables. A year later, Green, Carmone, and Wachpress (1977) introduced logit and log-linear...

According to a vast behavioral literature in marketing, consumers typically engage in two sequential stages of information search in order to reduce uncertainty and maximize the anticipated benefits of a purchase. In the first stage, consumers initially retrieve product information stored in...

This paper presents a new methodology concerned with the estimation of ultrametric trees calibrated on subjects' pairwise proximity judgments of stimuli, capturing subject heterogeneity using a finite mixture formulation. We assume that a number of unobserved classes of subjects exist, each...

This paper provides empirical insight into the way consumers make pairwise similarity judgments between brands, and how familiarity with the brands, serial position of the pair in a sequence, and the presentation format affect these judgments. Within the similarity judgment process both the...

We present a theoretical framework that posits compulsive buying behavior as a function of various psychological processes and personality traits. We analyze data from actual consumers using a new constrained maximum likelihood clusterwise regression procedure to examine the nature of consumer...

We present a description of current, state-of-the-art methods for per­forming latent class multidimensional scaling (LCMDS). The organizing framework utilized to present these various methods revolves around the types of data collected and the associated spatial representation desired from such...

The development of mixture models can be historically traced back to the work of Newcomb (1886) and Pearson (1894). Mixture distributions have been of considerable interest in recent years leading to a vast number of methodological and applied papers, as well as to three dedicated mono­graphs...

Various research areas face the methodological problems presented by nonnegative integer count data drawn from heterogeneous populations. We present a disaggregate negative binomial regression procedure for analysis of count data observed for a heterogeneous sample of cross-sections, possibly...