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Robust Preference Measurement A Simulation Study of Erroneous and Ambiguous Judgement’s Impact on AHP and Conjoint Analysis

In: Operations Research Proceedings 2005

Author

Listed:
  • Sören W. Scholz

    (Bielefeld University)

  • Martin Meißner

    (Bielefeld University)

  • Ralf Wagner

    (Bielefeld University)

Abstract

Summary Despite the recent methodological progress to unburden respondents in preference analysis the quality of consumers’ judgements is fundamental for marketing research results. Surprisingly, the impact of ambiguous and erroneous judgments given by the respondents is widely neglected in the marketing literature. In this paper we compare the Analytic Hierarchy Process and Conjoint Analysis with respect to the impact of random errors as well as ambiguities in preference statements by means of Monte Carlo simulation studies. Referring to Thurstone’s law of comparative judgements, we demonstrate the superior robustness of the Analytic Hierarchy Process in dealing with these kinds of perturbing effects.

Suggested Citation

  • Sören W. Scholz & Martin Meißner & Ralf Wagner, 2006. "Robust Preference Measurement A Simulation Study of Erroneous and Ambiguous Judgement’s Impact on AHP and Conjoint Analysis," Operations Research Proceedings, in: Hans-Dietrich Haasis & Herbert Kopfer & Jörn Schönberger (ed.), Operations Research Proceedings 2005, pages 613-618, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-32539-0_96
    DOI: 10.1007/3-540-32539-5_96
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