Wie robust sind Methoden zur Präferenzmessung?

Adriane Hartmann and Henrik Sattler ()
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Adriane Hartmann: Universität Hamburg
Henrik Sattler: Universität Hamburg

Schmalenbach Journal of Business Research, 2004, vol. 56, issue 1, 3-22

Abstract: Summary There is empirical evidence that self-explicated preference measurement methods are surprisingly robust in comparison to conjoint analysis. However, there has been no broad comparison of self-explicated methods with Choice-Based Conjoint analysis. The latter method gains more and more importance in marketing research practice. This empirical study shows that choice-based conjoint analysis leads to decisively better predictive validity than self-explicated measurement. Furthermore, its predictive validity is better than that of a new non-compensatory preference measurement method called RSS and the widespread Adaptive Conjoint Analysis (ACA).

Keywords: C25; C89; D12; M31; Conjoint Analysis; Predictive Validity; Preference Measurement; Self-Explicated Approach; Conjoint-Analyse; Kompositionelle Ansätze; Präferenzmessung; Vorhersagevalidität (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/BF03372727

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