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Part of book or chapter of book . 2025 . Peer-reviewed
License: CC BY
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Steps of a Discrete Choice Experiment

Authors: Petr Mariel; Danny Campbell; Erlend Dancke Sandorf; Jürgen Meyerhoff; Ainhoa Vega-Bayo; Rebecca Blevins;

Steps of a Discrete Choice Experiment

Abstract

Abstract This chapter provides an overview of the key steps of conducting a discrete choice experiment (DCE). We begin with the research questions guiding the study design, move through several design issues related to the DCE and the questionnaire, and conclude with important considerations for the model estimation and post-estimation analysis. The main objective of this chapter is to highlight the decisions involved in conducting a DCE and the potential consequences of these choices for the realisation of the final study and subsequent results. Instead of offering step-by-step guide for the implementation of DCEs, we draw on our research experience in this field to offer insights and practical knowledge for you to consider in a DCE project.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid
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