Designing efficient stated choice experiments in the presence of reference alternatives
By John M. Rose, Michiel C. J. Bliemer, David A. Hensher, Andrew T. Collins. 2008
583 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences, Transportation
View Paper: https://www.semanticscholar.org/paper/27d609c698cbfcbd4fe295aee4d61d367a881f11
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stephane Hess
- John M. Rose
- David A. Hensher
- Riccardo Scarpa
- Michiel C. J. Bliemer
- William H. Greene
- S. B. Olsen
- N. Hanley
In General Decision Sciences
- David A. Hensher
- Stephane Hess
- John M. Rose
- Riccardo Scarpa
- William H. Greene
- Michiel C. J. Bliemer
- L. Masiero
- N. Hanley
In Transportation
- Stephane Hess
- David A. Hensher
- John M. Rose
- Riccardo Scarpa
- William H. Greene
- Alejandro Tirachini
- Michiel C. J. Bliemer
- Emily Lancsar
Citations in the corpus
- Should Reference Alternatives in Pivot Design SC Surveys be Treated Differently? (2009, background): “…more incentive-compatible (e.g. Ding, 2007; Rousseas and Hart, 1951) and individual customisation of SC choice tasks to respondent specific experiences (e.g. Rose et al., 2008; Train and Wilson, 2007) represent just two approaches researchers have taken to improve the realism of SC choice tasks.”
- Modelling mode choice for freight transport using advanced choice experiments (2015, methodology): “In this paper we follow the recommendation of Rose et al. (2008) by collecting data in two different phases and optimising the design for each individual based on their reference levels.”
- Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, background): “Moreover, researchers who are interested in combining both stated- and revealed-preference data may find general knowledge of experimental design useful when creating designs for this purpose [28].”
- A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings (2019, methodology): “We use a pivot design approach to calculate the personalized attribute levels based 18 on revealed preference (RP) data from stage I of the survey (Rose et al., 2008).”
- Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment (2010, methodology): “Discontinuity in utility functions has been proposed by Swait (2001) through the concept of “cut-offs” and has been applied to the freight sector by Danielis and Marcucci (2007).”
- Construction of experimental designs for mixed logit models allowing for correlation across choice observations (2010, background): “In the design literature, the possible attribute levels are typically given and fixed, although approaches that pivot around respondent-specific base values exist (Rose et al., 2008).”
- Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective (2015, methodology): “To improve the realism of the experiment, the questionnaire was administered as a stated ranking exercise adopting an efficient experimental design (see Rose et al., 2008) developed using Ngene 1.1 software (Rose and Bliemer, 2012).”
- Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods (2021, methodology): “Rose et al. (2008) outline practical ways for such integration between pivot and efficient designs, such as the notion of constructing adaptive personalised choice sets (Fowkes and Shinghal, 2002).”