Models of best-worst choice and ranking among multiattribute options (profiles)

Journal of Mathematical Psychology

Volumn 56, Issue 1, 2012, Pages 24-34

  Marley, A A J ^a   Pihlens, D ^b  

^a UNIVERSITY OF VICTORIA   (Canada)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Best worst choice; Maxdiff model; Multiattribute options; Probabilistic models; Profiles

Indexed keywords

EID: 84857237383     PISSN: 00222496     EISSN: 10960880     Source Type: Journal    
DOI: 10.1016/j.jmp.2011.09.001     Document Type: Article

References (32)

1. Aczél J., Roberts F.S., Rosenbaum Z. On scientific laws without dimensional constants. Journal of Mathematical Analysis and Applications 1986, 9:389-416.
2. Auger P., Devinney T.M., Louviere J.J. Using best-worst scaling methodology to investigate consumer ethical beliefs across countries. Journal of Business Ethics 2006, 70:299-326.
3. Bednarz, A. (2006). Best-worst scaling and its relationship with multinomial logit. Bachelor of applied science (Maths). University of South Australia.
4. Busemeyer J.R., Diederich A. Survey of decision field theory. Mathematical Social Science 2002, 43:345-370.
5. Chrzan K., Golovashkina N. An empirical test of six stated importance measures. International Journal of Market Research 2006, 48:717-740. Best Paper at the AMA's Advanced Research Techniques Forum.
6. Cohen S. Maximum difference scaling: improved measures of importance and preference for segmentation. Sawtooth software conference proceedings 2003, 61-74. Sawtooth Software, Inc., WA, www.sawtoothsoftware.com.
7. Cohen, S., & Neira, L. (2004), Measuring preference for product benefits across countries: overcoming scale usage bias with maximum difference scaling. Paper Presented at the Latin American conference of the European society for opinion and marketing research, Punta del Este, Uruguay (pp.1-22). Reprinted in Excellence in International Research: 2004. ESOMAR. Amsterdam, Netherlands. 2004.
8. Eccleston J., Russell K. Connectedness and orthogonality in multi-factor designs. Biometrika 1975, 63:341-345.
9. Finn A., Louviere J.J. Determining the appropriate response to evidence of public concern: the case of food safety. Journal of Public Policy and Marketing 1992, 11:12-25.
10. Flynn T.N., Louviere J.J., Peters T.J., Coast J. Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters. Social Science & Medicine 2010, 70:1957-1965.
11. Goodman S. An international comparison of retail wine consumer choice. International Journal of Wine Business Research 2009, 21:41-49.
12. Hutchinson J.W., Zauberman G., Meyer R. On the interpretation of temporal inflation parameters in stochastic models of judgment and choice. Marketing Science 2010, 29:23-31.
13. Jaeger S.R., Jorgensen A.S., Aaslyng M.D., Bredie W.L.P. Best-worst scaling: an introduction and initial comparison with monadic rating for preference elicitation with food products. Food Quality and Preference 2008, 19:579-588.
14. Kamakura W.A., Russell G. A probabilistic choice model for market segmentation and elasticity structure. Journal of Marketing Research 1989, 26:379-390.
15. Krantz D.H., Luce R.D., Suppes P., Tversky A. Foundations of measurement. Volume I additive and polynomial representations 1971, Academic Press Inc, San Diego, CA.
16. Lancsar, E. & Louviere, J. J. (2008), Estimating individual level discrete choice models and welfare measures using best worst choice experiments and sequential best worst MNL. CenSoC Working Paper No. 08-003. Sydney: University of Technology.
17. Louviere J.J., Street D., Burgess L., Wasi N., Islam T., Marley A.A.J. Modeling the choices of individual decision-makers by combining efficient choice experiment designs with extra preference information. Journal of Choice Modelling 2008, 1:126-163.
18. Louviere J., Swait J. Discussion of Alleviating the constant variance assumption in decision research: theory, measurement, and experimental test. Marketing Science 2010, 29:18-22.
19. Louviere, J. J., & Woodworth, G. G. (1990), Best-worst scaling: a model for largest difference judgments. Working Paper. Faculty of Business, University of Alberta.
20. McFadden D. Conditional logit analysis of qualitative choice behavior. Frontiers in econometrics 1974, 105-142. Academic Press, New York. P. Zarembka (Ed.).
21. Marley, A. A. J. (2010), The best-worst method for the study of preferences: theory and applications. In P. A., Frensch & R., Schwarzer (Eds.), Cognition and neuropsychology: international perspectives on psychological science: Vol: 1. Proceedings of XXIX international congress of psychology (pp. 147-157). Psychology Press.
22. Marley A.A.J., Flynn T.N., Louviere J.J. Probabilistic models of set-dependent and attribute-level best-worst choice. Journal of Mathematical Psychology 2008, 52:281-296.
23. Marley A.A.J., Louviere J.J. Some probabilistic models of best, worst, and best-worst choices. Journal of Mathematical Psychology 2005, 49:464-480.
24. Rieskamp J., Busemeyer J.R., Mellers B.A. Extending the bounds of rationality: Evidence and theories of preferential choice. Journal of Economic Literature 2006, XLIV:631-661.
25. Salisbury L.C., Feinberg F.M. Alleviating the constant variance assumption in decision research: theory, measurement, and experimental test. Marketing Science 2010, 29:1-17.
26. Salisbury L.C., Feinberg F.M. Temporal stochastic inflation in choice-based research. Marketing Science 2010, 29:32-39.
27. Scarpa R., Notaro S., Raffelli R., Pihlens D., Louviere J.J. Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons. American Journal of Agricultural Economics 2011, 93:813-828.
28. Stott H.P. Cumulative prospect theory's functional menagerie. Journal of Risk and Uncertainty 2006, 32:101-130.
29. Street D.J., L Burgess L. The construction of optimal stated choice experiments: theory and methods 2007, Wiley, Hoboken, New Jersey.
30. Swait J., Louviere J.J. The role of the scale parameter in the estimation and comparison of multinomial logit models. Journal of Marketing Research 1993, 30:305-314.
31. Train K.E. Discrete choice methods with simulation 2009, Cambridge University Press, Cambridge. 2nd ed.
32. Vermeulen B., Goos P., Vandebroek M. Obtaining more information from conjoint experiments by best-worst choice. Computational Statistics and Data Analysis 2010, 54:1426-1433.