GENFOLD2. A Set of Models and Algorithms for the GENeral UnFOLDing Analysis of Preference/Dominance Data

Journal of Classification, Volume 1, Issue 1, pp 147-186, 1984

40 Pages Posted: 11 May 2016

See all articles by Wayne S. DeSarbo

Wayne S. DeSarbo

Pennsylvania State University

Vithala R. Rao

Cornell University - Samuel Curtis Johnson Graduate School of Management

Date Written: December 1984

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.

Keywords: Multidimensional scaling, Unfolding analysis, Preference models

Suggested Citation

DeSarbo, Wayne S. and Rao, Vithala R., GENFOLD2. A Set of Models and Algorithms for the GENeral UnFOLDing Analysis of Preference/Dominance Data (December 1984). Journal of Classification, Volume 1, Issue 1, pp 147-186, 1984, Available at SSRN: https://ssrn.com/abstract=2778258

Wayne S. DeSarbo (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

Vithala R. Rao

Cornell University - Samuel Curtis Johnson Graduate School of Management ( email )

Ithaca, NY 14853
United States

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