间隔共识模型:聚合连续约束间隔响应
Matthias Kloft1, Björn S Siepe1, Daniel W Heck1
1Department of Psychology, https://ror.org/01rdrb571Philipps-Universität Marburg, Germany.
Psychometrika
|November 4, 2025
概括
我们引入了一个新的间隔共识模型 (ICM) 来寻找未知的真理的共享知识,扩展文化共识理论 (CCT) 来从连续边界间隔响应中估计共识间隔.
科学领域:
- 社会科学 社会科学 社会科学
- 统计 统计 统计 统计
- 认知科学 认知科学
背景情况:
- 文化共识理论 (CCT) 聚合了对未知的真理的共享知识.
- 现有的CCT模型侧重于点真理 (二分法,多分法,连续).
- 风险评估等领域需要在间隔上达成共识,而不仅仅是点.
研究的目的:
- 引入间隔共识模型 (ICM) 作为CCT的扩展.
- 能够从连续的边界间隔响应中估计共识间隔.
- 解决基于间隔的共识现有的CCT模型的局限性.
主要方法:
- 开发了一种新的贝叶斯层次模型模型方法.
- 从间隔响应中估计的潜在共识间隔.
- 利用模拟研究来评估模型性能.
主要成果:
- 在ICM有效估计共识间隔.
- 在模拟研究中,ICM的表现优于简单的平均值和中位数.
- 将ICM应用于口头量化器判断的经验数据.
结论:
- ICM是CCT的一个有价值的延伸,用于基于间隔的共识.
- 这个模型增强了对需要间隔判断的领域的理解.
- ICM提供了一个统计学上可靠的方法来汇总间隔数据.
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