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Psychometrika

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DeSarbo, Wayne S.	2
Fong, Duncan K. H.	1
Liechty, John	1
Saxton, M. Kim	1
Young, Martin R.	1

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A Hierarchical Bayesian Procedure for Two-Mode Cluster Analysis

Peer reviewed

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DeSarbo, Wayne S.; Fong, Duncan K. H.; Liechty, John; Saxton, M. Kim – Psychometrika, 2004

This manuscript introduces a new Bayesian finite mixture methodology for the joint clustering of row and column stimuli/objects associated with two-mode asymmetric proximity, dominance, or profile data. That is, common clusters are derived which partition both the row and column stimuli/objects simultaneously into the same derived set of clusters.…

Descriptors: Bayesian Statistics, Multivariate Analysis, Monte Carlo Methods, Consumer Economics

A Parametric Procedure for Ultrametric Tree Estimation from Conditional Rank Order Proximity Data.

Peer reviewed

Young, Martin R.; DeSarbo, Wayne S. – Psychometrika, 1995

A new parametric maximum likelihood procedure is proposed for estimating ultrametric trees for the analysis of conditional rank order proximity data. Technical aspects of the model and the estimation algorithm are discussed, and Monte Carlo results illustrate its application. A consumer psychology application is also examined. (SLD)

Descriptors: Algorithms, Consumer Economics, Estimation (Mathematics), Maximum Likelihood Statistics