Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.
By F. Reed Johnson, Emily Lancsar, Deborah A. Marshall, Vikram Kilambi, A. Mühlbacher, Dean Regier, Brian W. Bresnahan, B. Kanninen, John F. P. Bridges. Value in Health, 2013
1,697 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/184c0c12977ac0d7126e82fdfa28419307216dcb
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In Economics and Econometrics
- N. Hanley
- Riccardo Scarpa
- Kevin J. Boyle
- Roy Brouwer
- Jeffrey Bennett
- Christian A. Vossler
- R. Johnston
- Wiktor L. Adamowicz
Citations in the corpus
- A better carbon footprint label (2016, methodology): “A discrete choice experiment was employed to test the hypotheses (Johnson et al., 2013).”
- Valuing Alternative Work Arrangements (2017, background): “It has long been recognized in the literature on contingent valuation and discrete choice experiments that inattention is a cause for concern (Johnson et al., 2013).”
- Contemporary Guidance for Stated Preference Studies (2017, background): “Experimental design in these contexts, and particularly for CEs, is complex and evolving (Sándor and Wedel 2002; Johnson et al. 2006, 2013; Ferrini and Scarpa 2007; Rose et al. 2008; Scarpa and Rose 2008; Rose and Bliemer 2009, 2014; Bliemer and Rose 2010; Vermeulen et al. 2011).”
- Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force. (2016, neutral): “Although these eight profiles can be combined into a large number of distinct pairs, we could use amaineffects orthogonal design [2] to generate an experimental design consisting of four paired-profile choice tasks (Appendix Table 1).”
- Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide (2015, methodology): “The DCE approach combines consumer theory [3], random utility theory [4], experimental design theory [5], and econometric analysis [1].”
- Should we stop meating like this? Reducing meat consumption through substitution (2016, methodology): “…does not provide a D-efficiency value for the model, as it assumes that ‘‘designs that are level balanced and near orthogonal will lead to identified preference-model parameters” (Johnson et al., 2013, p.11), the software allows simulations using dummy data to test the integrity of the design.”
- Multiple Criteria Decision Analysis for Health Care Decision Making--Emerging Good Practices: Report 2 of the ISPOR MCDA Emerging Good Practices Task Force. (2016, methodology): “For instance, the ISPOR good practice guidelines on implementing DCEs [49] [50].”
- Discrete Choice Experiments in Health Economics: Past, Present and Future (2018, background): “For more information about the choices researchers have to make when designing the experimental part of a DCE, we also refer to a key checklist and best practice example [14, 15].”