在离散选择实验中的偏好反转:对表情符号尺度的新测试
Thao Thai1, Lidia Engel1, Jemimah Ride1
1Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Level 4, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Social science & medicine (1982)
|October 16, 2025
概括
在健康评估任务中使用表情符号可以减少偏好反转并改善受访者体验. 表情符号和文本格式显示了增强离散选择实验 (DCE) 的有希望的结果.
科学领域:
- 卫生经济学 卫生经济学
- 心理测量 心理测量 心理测量
- 人与计算机的交互
背景情况:
- 偏好逆转是健康评估研究中的一个重要问题,影响偏好估计的准确性.
- 在离散选择实验 (DCE) 中呈现健康状况的现有方法可能会导致受访者混乱和数据质量问题.
研究的目的:
- 为了研究一种新的视觉辅助工具,即表情符号尺度在减少偏好反转方面的有效性.
- 评估表情符号尺度是否改善了受访者体验和DCE数据质量.
主要方法:
- 一项对2024名澳大利亚成年人进行的受访者之间的研究,比较了四种格式:只有文本,表情符号和文本,只有表情符号和带有颜色编码的文本.
- 使用恢复生活质量 - 实用性指数仪器进行健康评估案例研究.
- 估计价值集和分析感知任务难度,参与度和偏好反转.
主要成果:
- 表情符号和文本格式展示了与标准的仅文本格式一致的实用性下降.
- 与其他条件相比,这种格式显著减少了偏好反转.
- 受访者报告说,任务难度较低,对表情符号和文本格式的参与度更高.
结论:
- 在DCE中将表情符号与文本配对可以提高受访者对健康评估的理解和数据质量.
- 表情符号和文本格式提供了一种有希望的方法来改进DCE,而不会影响值组的有效性.
- 需要进一步的研究才能充分确定表情符号尺度作为属性级别排序的视觉辅助工具的合法性.
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