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Non-geometric Plackett-Burman Designs in Conjoint Analysis

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Abstract

Design of experiments is an established technique for product and process improvement that has its origin in the 1920s and the work of Sir Ronald Fisher. Conjoint analysis shares the same theoretical basis as traditional design of experiments, but was originally used within the field of psychology and it was not until the early 1970s that the methodology was introduced into marketing research to form what is called conjoint analysis (Luce and Tukey 1964; Green and Rao 1971; Johnson 1974). Today, conjoint analysis is an established technique for investigating customer preferences.

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References

  • Bisgaard, S. (1992), Industrial Use of Statistically Designed Experiments: Case Study References and Some Historical Anecdotes, Quality Engineering, 4, 547–562.

    Article  Google Scholar 

  • Box, G. E. P. and Behnken, D. W. (1960), Some New Three Level Designs for the Study of Quantitative Variables, Technometrics, 2, 455–475.

    Article  Google Scholar 

  • Box, G. E. P. and Behnken, D. W. (1961), Corrections, Technometrics, 3, 576–577.

    Google Scholar 

  • Box, G. E. P., Hunter, W. G. and Hunter, J. S. (1978), Statistics for Experimenters - An Introduction to Design, Data Analysis, and Model Building,New York.

    Google Scholar 

  • Box, G. E. P. and Draper, N. R. (1987), Empirical Model-Building and Response Surfaces,New York.

    Google Scholar 

  • Box, G. E. P. (1990), George’s Column–Do Interactions Matter? Quality Engineering, 2, 365–369.

    Article  Google Scholar 

  • Box, G. E. P. and Meyer, R. D. (1993), Finding the Active Factors in Fractionated Screening Experiments, Journal of Quality Technology, 25, 94–105.

    Google Scholar 

  • Box, G. E. P. and Tyssedal, J. (1996), Projective Properties of Certain Orthogonal Arrays, Biometrika, 83, 950–955.

    Article  Google Scholar 

  • Daniel, C. (1959), Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments, Technometrics, 1, 311–341.

    Article  Google Scholar 

  • Daniel, C. (1976), Application of Statistics to Industrial Experimentation,New York.

    Google Scholar 

  • Draper, N. R. and Smith, H. (1981), Applied Regression Analysis,New York.

    Google Scholar 

  • Finney, D. J. (1945), The Fractional Replication of Factorial Arrangements, Annals of Eugenics, 12, 291–301.

    Article  Google Scholar 

  • Fisher, R. A. (1935), The Design of Experiments,Edinburgh.

    Google Scholar 

  • Green, P. and Rao, V. (1971), Conjoint Measurement for Quantifying Judgemental Data, Journal ofMarketing Research, 1, 61–68.

    Article  Google Scholar 

  • Green, P. (1984), Hybrid Models for Conjoint Analysis: An Expository Review, Journal of Marketing Research, 21, 155–169.

    Article  Google Scholar 

  • Green, P. and Srinivasan, V. (1978), Conjoint Analysis in Consumer Research: Issues and Outlook, Journal of Consumer Research, 5, 103123.

    Google Scholar 

  • Green, E. P. and Srinivasan, V. (1990), Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice, Journal of Marketing, 17, 3–19.

    Article  Google Scholar 

  • Hagerty, M. R. (1986), The Cost of Simplifying Preference Models, Marketing Science, 5, 298–319.

    Article  Google Scholar 

  • Hamada, M. and Wu, C. F. J. (1992), Analysis of Designed Experiments with Complex Aliasing, Journal of Quality Technology, 24, 130137.

    Google Scholar 

  • Hynén, A. (1996), Screening for Main and Interaction Effects with Plackett and Burman’s 12 Run Design, (Submitted) (A preprint is available as RQTM Research Report No. 1, Division of Quality Technology and Management, Linköping University, Sweden. ).

    Google Scholar 

  • Johnson, R. (1974), Trade-off Analysis of Consumer Values, Journal of Marketing Research, 11, 121–127.

    Article  Google Scholar 

  • Kackar, R. N. and Tsui, K. L. (1990), Interaction Graphs: Graphical Aids for Planning Experiments, Journal of Quality Technology, 22, 1–14.

    Google Scholar 

  • Luce, D. and Tukey, J. (1964), Simultaneous Conjoint Measurement: A New Type of Fundamental Measurement, Journal of Mathematical Psychology, 1, 1–27.

    Google Scholar 

  • Myers, R. H. and Montgomery, C. M. (1995), Response Surface Methodology, New York.

    Google Scholar 

  • Plackett, R. L. and Burman, J. P. (1946), The Design of Optimum Multi-factorial Experiments, Biometrika, 33, 305–325.

    Article  Google Scholar 

  • Sun, D. X. and Wu, C. F. J. (1994), Interaction Graphs for Three-Level Fractional Factorial Designs, Journal of Quality Technology, 26, 297–307.

    Google Scholar 

  • Wittink, R. D. and Catlin, P. (1989), Commercial Use of Conjoint Analysis: An Update, Journal of Marketing, 53, 91–96.

    Article  Google Scholar 

  • Wittink, D. R., Vriens, M. and Burhenne, W. (1994), Commercial Use of Conjoint Analysis in Europe: Results and Critical Reflections, International Journal of Research in Marketing, 11, 41–52.

    Article  Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Blomkvist, O., Ekdahl, F., Gustafsson, A. (2000). Non-geometric Plackett-Burman Designs in Conjoint Analysis. In: Conjoint Measurement. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06395-8_7

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  • DOI: https://doi.org/10.1007/978-3-662-06395-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-06397-2

  • Online ISBN: 978-3-662-06395-8

  • eBook Packages: Springer Book Archive

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