A comparison of criteria to design efficient choice experiments

Journal of Marketing Research

Volumn 43, Issue 3, 2006, Pages 409-419

  Kessels, Roselinde ^a   Goos, Peter ^d   Vandebroek, Martina ^b,c  

^a Faculty of Economics and Applied Economics   (Belgium)

^b University Centre of Statistics   (Belgium)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d UNIVERSITY OF ANTWERP   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33748549963     PISSN: 00222437     EISSN: None     Source Type: Journal    
DOI: 10.1509/jmkr.43.3.409     Document Type: Review

References (30)

1. Anderson, Donald A. and James B. Wiley (1992), "Efficient Choice Set Designs for Estimating Availability Cross-Effects Models," Marketing Letters, 3 (4), 357-70.
2. Arora, Neeraj and Joel Huber (2001), "Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments," Journal of Consumer Research, 28 (September), 273-83.
3. Atkinson, Anthony C. and Alexander N. Donev (1992), Optimum Experimental Designs. Oxford: Clarendon Press.
4. _ and Linda M. Haines (1996), "Designs for Nonlinear and Generalized Linear Models," in Handbook of Statistics: Design and Analysis of Experiments, Vol. 13, Subir Ghosh and Calyampudi R. Rao, eds. Amsterdam: Elsevier, 437-75.
5. Bunch, David S., Jordan J. Louviere, and Donald A. Anderson (1996), "A Comparison of Experimental Design Strategies for Multinomial Logit Models: The Case of Generic Attributes," working paper, Graduate School of Management, University of California, Davis.
6. k Choice Experiments," Communications in Statistics: Theory and Methods, 32 (11), 2185-2206.
7. _ and _ (2005), "Optimal Designs for Choice Experiments with Asymmetric Attributes," Journal of Statistical Planning and Inference, 134 (1), 288-301.
8. Carlsson, Fredrik and Peter Martinsson (2003), "Design Techniques for Stated Preference Methods in Health Economics," Health Economics, 12 (4), 281-94.
9. Carson, R.T., J.J. Louviere, D.A. Anderson, P. Arabie, D.S. Bunch, D.A. Hensher, R.M. Johnson, W.F. Kuhfeld, D. Steinberg, J. Swait, H. Timmermans, and J.B. Wiley (1994), "Experimental Analysis of Choice," Marketing Letters, 5 (4), 351-67.
10. Chaloner, Kathryn and Isabella Verdinelli (1995), "Bayesian Experimental Design: A Review," Statistical Science, 10 (3), 273-304.
11. Cook, R. Dennis and Christopher J. Nachtsheim (1980), "A Comparison of Algorithms for Constructing Exact D-Optimal Designs," Technometrics, 22 (3), 315-24.
12. Fedorov, Valeri V. (1972), Theory of Optimal Experiments. New York: Academic Press.
13. Goos, Peter (2002), The Optimal Design of Blocked and Split-Plot Experiments. New York: Springer.
14. Grossmann, Heiko, Heinz Holling, and Rainer Schwabe (2002), "Advances in Optimum Experimental Design for Conjoint Analysis and Discrete Choice Models," in Advances in Econometrics, Econometric Models in Marketing, Vol. 16, Philip H. Franses and Alan L. Montgomery, eds. Amsterdam: JAI Press, 93-117.
15. Huber, Joel and Klaus Zwerina (1996), "The Importance of Utility Balance in Efficient Choice Designs," Journal of Marketing Research, 33 (August), 307-317.
16. Kuhfeld, Warren F. and Randall D. Tobias (2005), "Large Factorial Designs for Product Engineering and Marketing Research Applications," Technometrics, 47 (2), 132-41.
17. _, _, and Mark Garratt (1994), "Efficient Experimental Design with Marketing Research Applications," Journal of Marketing Research, 31 (November), 545-57. (Updated version [2005] available at http://support.sas.com/ techsup/tnote/tnote_stat.html.)
18. Lazari, Andreas G. and Donald A. Anderson (1994), "Designs of Discrete Choice Experiments for Estimating Both Attribute and Availability Cross Effects," Journal of Marketing Research, 31 (August), 375-83.
19. Louviere, Jordan J., Deborah J. Street, and Leonie Burgess (2003), "A 20+ Years Retrospective on Choice Experiments," in Marketing Research and Modeling: Progress and Prospects, Ch. 8, Yoram Wind and Paul E. Green, eds. New York: Kluwer Academic Press, 201-214.
20. _ and George Woodworth (1983), "Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data," Journal of Marketing Research, 20 (November), 350-67.
21. McFadden, Daniel (1974), "Conditional Logit Analysis of Qualitative Choice Behavior," in Frontiers in Econometrics, Paul Zarembka, ed. New York: Academic Press, 105-142.
22. Meyer, Ruth K. and Christopher J. Nachtsheim (1995), "The Coordinate Exchange Algorithm for Constructing Exact Optimal Experimental Designs," Technometrics, 37 (1), 60-69.
23. Sándor, Zsolt and Michel Wedel (2001), "Designing Conjoint Choice Experiments Using Managers' Prior Beliefs," Journal of Marketing Research, 38 (November), 430-44.
24. _ and _ (2002), "Profile Construction in Experimental Choice Designs for Mixed Logit Models," Marketing Science, 21 (4), 455-75.
25. Silvey, Samuel D. (1980), Optimal Design. London: Chapman and Hall.
26. k Paired Comparison Experiments," Communications in Statistics: Theory and Methods, 30 (10), 2149-71.
27. _ and Leonie Burgess (2004), "Optimal and Near Optimal Pairs for the Estimation of Effects in 2-Level Choice Experiments," Journal of Statistical Planning and Inference, 118 (1-2), 185-99.
28. Swait, Joffre and Wiktor Adamowicz (2001), "The Influence of Task Complexity on Consumer Choice: A Latent Class Model of Decision Strategy Switching," Journal of Consumer Research, 28 (June), 135-48.
29. Trinca, Luzia A. and Steven G. Gilmour (2000), "An Algorithm for Arranging Response Surface Designs in Small Blocks," Computational Statistics and Data Analysis, 33 (1), 25-43.
30. Zwerina, Klaus, Joel Huber, and Warren F. Kuhfeld (1996), "A General Method for Constructing Efficient Choice Designs," working paper, Fuqua School of Business, Duke University. (Updated version [2005] available at http://support.sas.com/techsup/tnote/tnote_stat.html.)