References

• 2000Stated Choice Methods3,818 cited
• 1993The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models1,219 cited
• 1983The origin of predictable behavior1,164 cited
• 2002Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency732 cited
• 2008Design efficiency for non‐market valuation with choice modelling: how to measure it, what to report and why*630 cited
• 2004Assessing the influence of design dimensions on stated choice experiment estimates571 cited
• 2012Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments378 cited
• 2001Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice340 cited
• 2010Participant Dropout as a Function of Survey Length in Internet-Mediated University Studies: Implications for Study Design and Voluntary Participation in Psychological Research292 cited
• 2010Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment264 cited
• 2008Designing Discrete Choice Experiments: Do Optimal Designs Come at a Price?248 cited
• 1994Use of the logit scaling approach to test for rank-order and fatigue effects in stated preference data234 cited
• 2009Complexity in choice experiments: choice of the status quo alternative and implications for welfare measurement*