ABSTRACT

Discrete Choice Experiments (DCEs) are widely used in behavioral sciences to examine how humans value attributes of a technology, how those values drive decisions, and how they make trade-offs. The method has increasingly been used to inform technologies and interventions for addressing critical issues (e.g. disease and hunger). Different formats and symbols are used to deliver DCEs and represent attributes, respectively (e.g. questionnaire presenting two vaccines with different photos representing risks). When these formats or symbols are unfamiliar to respondents, they are unlikely to understand DCEs, raising questions about the validity of findings and their contribution to future technology and interventions. This research note offers a pathway to develop more robust DCEs with participants. In doing so, participant understanding of the experiment is increased and more accurate depictions of their choices are captured.

摘要

离散选择实验 (DCE) 广泛用于行为科学，以检验人类如何评价技术的属性、这些价值观如何驱动决策以及他们如何做出权衡。该方法越来越多地用于为解决关键问题（例如疾病和饥饿）的技术和干预措施提供信息。不同的格式和符号分别用于传递 DCE 和表示属性（例如，问卷显示两种疫苗，不同的照片代表风险）。当受访者不熟悉这些格式或符号时，他们不太可能理解 DCE，从而对调查结果的有效性及其对未来技术和干预措施的贡献提出质疑。该研究报告提供了与参与者一起开发更强大的 DCE 的途径。在这样做，