Affiliation:
1. Drexel University.
2. Wharton School, University of Pennsylvania.
3. State University of New York at Buffalo.
Abstract
In many industrial applications of conjoint analysis the use of nonmetric algorithms to analyze respondent ranks of products described by more than eight or 10 attributes is time consuming and very expensive for large samples of consumers. The authors compare the results using nonmetric analysis, full factorial designs, and rank data with quicker and less expensive methods of metric analysis, orthogonal arrays and stimulus ratings. In addition, two types of models and levels of error are investigated. The results indicate that metric analysis using ratings data and orthogonal arrays is very robust.
Subject
Marketing,Economics and Econometrics,Business and International Management
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献