GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data

Wayne S. DeSarbo, Vithala R. Rao

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

A general set of multidimensional unfolding models and algorithms is presented to analyze preference or dominance data. This class of models termed GENFOLD2 (GENeral UnFOLDing Analysis-Version 2) allows one to perform internal or external analysis, constrained or unconstrained analysis, conditional or unconditional analysis, metric or nonmetric analysis, while providing the flexibility of specifying and/or testing a variety of different types of unfolding-type preference models mentioned in the literature including Caroll's (1972, 1980) simple, weighted, and general unfolding analysis. An alternating weighted least-squares algorithm is utilized and discussed in terms of preventing degenerate solutions in the estimation of the specified parameters. Finally, two applications of this new method are discussed concerning preference data for ten brands of pain relievers and twelve models of residential communication devices.

Original languageEnglish (US)
Pages (from-to)147-186
Number of pages40
JournalJournal of Classification
Volume1
Issue number1
DOIs
StatePublished - Dec 1 1984

All Science Journal Classification (ASJC) codes

  • Mathematics (miscellaneous)
  • Psychology (miscellaneous)
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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