Generalized Latent Class Analysis: A New Methodology for Market Structure Analysis

  • I. Böckenholt
  • W. Gaul
Conference paper

Abstract

In this paper a generalization of LCA (Latent Class Analysis) is presented which allows a simultaneous classification and MDS (MultiDimensional Scaling) of ordered categorical data. This approach is managerially useful in several ways, because additional background variables can be directly incorporated to identify latent class specific response probabilities. Furthermore, this technique allows a graphical representation of the classification results obtained. Essential features of the methodology will be demonstrated in the empirical part of this paper.

Keywords

Entropy Marketing 

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1989

Authors and Affiliations

  • I. Böckenholt
    • 1
  • W. Gaul
    • 1
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversität Karlsruhe (TH)Germany

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