Latent Class Multidimensional Scaling. A Review of Recent Developments in the Marketing and Psychometric Literature

Advanced Methods of Marketing Research, R. Bagozzi (Ed.), Blackwell Pub., 190-222, 1994

35 Pages Posted: 6 Jun 2016

See all articles by Wayne S. DeSarbo

Wayne S. DeSarbo

Pennsylvania State University

Ajay K Manrai

University of Delaware

Lalita A. Manrai

University of Delaware

Date Written: 1994

Abstract

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 approaches. As such, methods for proximity, paired compar­isons, preference, choice, and profile or ratings data are described. A general form of the E-M maximum likelihood estimation procedure typ­ically utilized for the vast majority of these methods is also presented. Finally, the potential application of these methods in marketing, as well as directions for future research, are discussed.

Suggested Citation

DeSarbo, Wayne S. and Manrai, Ajay K and Manrai, Lalita A., Latent Class Multidimensional Scaling. A Review of Recent Developments in the Marketing and Psychometric Literature (1994). Advanced Methods of Marketing Research, R. Bagozzi (Ed.), Blackwell Pub., 190-222, 1994. Available at SSRN: https://ssrn.com/abstract=2789860

Wayne S. DeSarbo (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

Ajay K Manrai

University of Delaware ( email )

214 MBNA America Hall
Orchard Road & Amstel Avenue
Newark, DE 19716-2710
United States
302-831-1770 (Phone)
302-831-4196 (Fax)

Lalita A. Manrai

University of Delaware ( email )

Newark, DE 19711
United States

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