An alternating least squares algorithm is developed for con­structing either an ultrametric or an additive tree represen­tation of profile data. The algorithm simultaneously estimates the best fitting tree and optimal variable weights for con­verting the profile data into dissimilarities. An...

In analogy with the wandering vector model, a probabilistic multidimensional unfolding model is proposed for representing paired comparisons data. It is shown that contrary to other stochastic multidimensional unfolding models, the present model does not imply strong stochastic transitivity,...

This paper describes the development of an unfolding methodology designed to analyze "pick any" or "pick any/n" binary choice data (e.g., decisions to buy or not to buy various products). Maximum likelihood estimation procedures are used to obtain a joint space representation of both persons and...

This article presents the development of a new stochastic multidimensional scaling (MDS) method, which operates on paired comparisons data and renders a spatial representation of subjects and stimuli. Subjects are represented as vectors and stimuli as points in a T-dimensional space, where the...

Choice-constrained conjoint analysis (CCCA) is a new method for metric conjoint analysis studies. It computes part-worth utility functions that account for “revealed preference” — those products a respondent actually selects in an independent choice situation. CCCA uses an iterative...

The interrelationships between two sets of measurements made on the same subjects can be studied by canonical correlation. Originally developed by Hotelling, the canonical correlation is the maximum correlation between linear functions or canonical factors of two sets of variables. An...

A host of strategic management and marketing issues, including competitive analysis and strategic decision making, hinges on accurately identifying and representing competitive market structures. It is readily acknowledged that competitive market structures are typically asymmetric; namely, one...

It has been well documented in the marketing literature that customer satisfaction is critical to any businesses' success. However, it is far less clear as on how marketers comprehend customer differences in customer satisfaction evaluations, and leverage such understanding in forming their...

Preference structures that underlie survey or experimental responses may systematically vary during the administration of such measurement.Maturation, learning, fatigue, and response strategy shifts may all affect the sequential elicitation of respondent preferences at different points in the...

We define sources of heterogeneity in consumer utility functions related to individual differences in response tendencies, drivers of utility, form of the consumer utility function, perceptions of attributes, stated expendencies, and stochasticity. A variety of alternative modeling approaches...