Not bored yet - Revisiting respondent fatigue in stated choice experiments

Transportation Research Part A: Policy and Practice

Volumn 46, Issue 3, 2012, Pages 626-644

  Hess, Stephane ^a   Hensher, David A ^b   Daly, Andrew ^a,c  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b UNIVERSITY OF SYDNEY   (Australia)

^c RAND CORPORATION   (United States)

Author keywords

Fatigue; Learning; Multiple data sets; Scale; Stated choice experiments; Willingness to pay

Indexed keywords

FATIGUE OF MATERIALS; PUBLIC POLICY; TRANSPORTATION;

LEARNING; MULTIPLE DATA SETS; SCALE; STATED CHOICE EXPERIMENTS; WILLINGNESS TO PAY;

SURVEYS;

COMPARATIVE STUDY; DATA SET; ERROR ANALYSIS; EXPERIMENTAL STUDY; FATIGUE; LOGIT ANALYSIS; PRECISION; RESEARCH WORK; TRANSPORTATION; WILLINGNESS TO PAY;

EID: 84855813609     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2011.11.008     Document Type: Article

References (28)

1. Adamowicz W., Boxall P., Williams W., Louviere J.J. Stated preference approaches for measuring Passive use values: choice experiments and contingent valuation Amer. J. Agr. Econ. 1998, 80:64-75.
2. Bateman, I., Carson, R., Dupont, D., Day, B., Louviere, J.J., Morimoto, S., Scarpa, R., Wang, P., 2008. Choice set awareness and ordering effects in choice experiments. In: 16th Annual Conference of the European Association of Environmental and Resource Economics (EAERE), Gothenburg, Sweden, 25-28 June, 44p.
3. Bateman I., Burgess D., Hutchinson W.G., Matthews D.I. Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness. J. Environ. Econ. Manage. 2008, 55(2):127-141.
4. Bech M., Kjaer T., Lauridsen J. Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment. Health Econ. 2011, 20(3):273-286.
5. Bliemer, M.C., Rose, J.M., 2009. Designing stated choice experiments: the state of the art. In: Kitamura, R., Yoshi, T., Yamamoto, T. (Eds.), The Expanding Sphere of Travel Behaviour Research, Selected Papers from the 11th International Conference on Travel Behaviour Research, pp. 495-498 (Chapter 25).
6. Bradley M., Daly A. Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data. Transportation 1994, 21(2):167-184.
7. Brazell J.D., Louviere J.J. Helping, Learning, and Fatigue: An Empirical Investigation of Length Effects in Conjoint Choice Studies 1996, Department of Marketing, The University of Sydney.
8. Brouwer R., Dekker T., Windle J.R.J. Choice certainty and consistency in repeated choice experiments. Environ. Resour. Econ. 2009, 46(1):93-109.
9. Brownstone, D., Hansen, M., Madanat, S., 2010. Review of " Bay Area/California High-Speed Rail Ridership and Revenue Forecasting Study. UC Berkeley Research Report UCB-ITS-RR-2010-1. Institute of Transportation Studies, University of California, Berkeley, CA.
10. Carlsson, F., Mørkbak, M.R., Olsen, S.B., 2011. The first time is the hardest: a test of ordering effects in choice experiments. In: Paper Presented at the Second International Choice Modelling Conference. Oulton Hall, Leeds.
11. Caussade S., Ortúzar J.deD., Rizzi L., Hensher D.A. Assessing the influence of design dimensions on stated choice experiment estimates. Transp. Res. B 2005, 39:621-640.
12. Daly, A., Hess, S., 2010. Simple methods for panel data analysis. In: Paper Presented at the European Transport Conference, Glasgow.
13. Fosgerau M. Investigating the distribution of the value of travel time savings. Transp. Res. Part B 2006, 40(8):688-707.
14. Guilkey D.K., Murphy J.L. Estimation and testing in random effects probit model. J. Econometric. 1993, 59:301-317.
15. Hanley N., Wright R.E., Koop G. Modelling recreation demand using choice experiments: climbing in Scotland. Environ. Resour. Econ. 2002, 22:449-466.
16. Hensher, D.A., 2010. Attribute processing, heuristics, and preference construction in choice analysis. In: Hess, S., Daly, A. (Eds.), Choice Modelling: the State-of-the-Art and the State-of-Practice; Proceedings from the Inaugural International Choice Modelling Conference. Emerald, pp. 35-70 (Chapter 3).
17. Hensher D.A., Rose J. Respondent behavior in discrete choice modeling with a focus on the valuation of travel time savings. J. Transport. Stat. 2005, 8(2):17-30.
18. Hess S., Smith C., Falzarano S., Stubits J. Measuring the effects of different experimental designs and survey administration methods using an Atlanta Managed Lanes Stated Preference survey. Transport. Res. Rec. 2008, 2049:144-152.
19. Hess S., Rose J.M., Polak J.W. Non-trading, lexicographic and inconsistent behaviour in stated choice data. Transport. Res. Part D 2010, 15(7):405-417.
20. Holmes T., Boyle K.J. Dynamic learning and context-dependence in sequential, attribute-based stated-preference valuation questions. Land Econ. 2005, 81:114-126.
21. Hu, W., 2006. Effects of endogenous task complexity and the endowed bundle on stated choice. In: Selected Paper Prepared for Presentation at the American Agricultural Economics Association Annual Meeting, Long Beach, California (23-26 July).
22. Ladenburg J., Olsen S.B. Gender-specific starting point bias in choice experiments: evidence from an empirical study. J. Environ. Econ. Manage. 2008, 56(3):275-285.
23. Orr, S., Hess, S., Sheldon, R., 2010. Fungibility of monetary valuations in a transport context: an empirical investigation of the transferability of willingness to pay measures. In: Paper Presented at the European Transport Conference, Glasgow.
24. Phillips K.A., Johnson F.R., Maddala T. Measuring what people value: a comparison of 'attitude' and 'preference' surveys. Health Serv. Res. 2002, 37:1659-1679.
25. Plott C.R. Rational individual behavior in markets and social choice processes: the discovered preference hypothesis. Rational Foundations of Economic Behavior 1996, Macmillan, London. K. Arrow, E. Colombatto, M. Perleman, C. Schmidt (Eds.).
26. Raffaelli, R, Notaro, S., Scarpa, R., Pihlens, D., Louviere, J., 2009. Valuing the external effects of Alpine transhumance: an application of the best-worst approach to rank ordered data. In: Paper Presented at the International Choice Modelling Conference, Harrogate.
27. Risa Hole A. Forecasting the demand for an employee Park and Ride service using commuters' stated choices. Transp. Policy 2004, 11(4):355-362.
28. Savage S., Waldman D. Learning and fatigue during choice experiments: a comparison of online and mail survey modes. J. Appl. Econometric. 2008, 23:351-371.