预测对预期准确性和精度的影响
Matthew Barnfield1, Joseph Phillips2, Florian Stoeckel3
1Postdoctoral Fellow, School of Politics and International Relations, Queen Mary University of London, London, UK.
Public opinion quarterly
|June 16, 2025
概括
量化预测显著影响选民对选举的期望. 将预测作为预测的投票份额来呈现提高了准确性,而数值概率则降低了它,影响了公众对社会政治趋势的理解.
科学领域:
- 社会心理学 社会心理学
- 政治科学 政治科学是指政治学.
- 沟通研究 沟通研究
背景情况:
- 量化预测越来越多地用于向公众提供关于社会政治趋势的信息.
- 了解个人如何处理和从这些预测中学习,对于有效的沟通至关重要.
研究的目的:
- 调查不同定量预测展示格式对选民期望的影响.
- 确定预测信息如何影响有关选举结果的公众预测的准确性和精度.
主要方法:
- 一个预先注册的调查实验是使用对2022年法国总统大选的真实预测进行的.
- 参与者接触到预测信息,以预计的投票份额或数值概率的形式呈现.
主要成果:
- 作为预计的投票份额呈现的预测提高了选民对候选人投票份额的期望的准确性和精确性.
- 以数值概率形式呈现的预测降低了选民期望的准确性和精确性.
- 组合的介绍格式取消了个体效应,但改善了可能的选举获胜者的识别.
结论:
- 定量预测的格式显著影响选民如何感知和了解选举结果.
- 预计的投票份额比数字概率更有效地提高了选民的准确预期.
- 有效地传播定量信息对于公众对社会政治趋势的理解至关重要.
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