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The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis

In: Conjoint Measurement

Author

Listed:
  • Joachim Giesen

    (Max Planck Insititute for Computer Sciences)

  • Eva Schuberth

    (Swiss Federal Institute of Technology)

Abstract

In abstract terms conjoint analysis can be seen as fitting a model to preference information elicited from a group of respondents. That is, conjoint analysis comprises two tasks, (1) preference data elicitation, and (2) model fitting to the elicited data. The model fitting phase is necessary since in general the elicited data tends to be very sparse and can be interpreted meaningfully only in the context of some model, which already encodes general assumptions on the structure of the preferences.

Suggested Citation

  • Joachim Giesen & Eva Schuberth, 2007. "The Combinatorial Structure of Polyhedral Choice Based Conjoint Analysis," Springer Books, in: Anders Gustafsson & Andreas Herrmann & Frank Huber (ed.), Conjoint Measurement, edition 0, chapter 13, pages 259-271, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-71404-0_13
    DOI: 10.1007/978-3-540-71404-0_13
    as

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