相关实验视频
Updated: Jun 26, 2026

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Assessment of Social Interaction Behaviors
Published on: February 25, 2011
"这种行为对我们来说是理想的":惠斯曼的评估和预期 (2022)
Alexandra Sarafoglou1, František Bartoš2, Angelika Stefan2,3
1Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129B, 1001, NK, Amsterdam, Netherlands. alexandra.sarafoglou@gmail.com.
Psychonomic bulletin & review
|August 4, 2023
概括
贝叶斯因子是有效的证据衡量标准,与惠斯曼的说法相反. 统计学理论解释了为什么贝叶斯因子会随着样本大小的增加而表现得像样本大小的增加一样,与既有文献保持一致.
科学领域:
- 统计 统计 统计 统计
- 心理学 心理学 心理学
背景情况:
- 惠斯曼 (2022) 质疑贝叶斯因子作为证据措施的有效性.
- 论证的重点是贝叶斯因素可能不支持真假设,更多的是更大的样本大小.
研究的目的:
- 为了解决Huisman (2022) 对贝叶斯因子的批评.
- 为了证明Huisman观察到的异常与概率理论是一致的.
主要方法:
- 贝叶斯因子行为的理论分析.
- 审查现有的关于证据措施的统计文献.
主要成果:
- 休斯曼所谓的异常是概率论的直接结果.
- 自1939年以来,这种行为在统计文献中得到了理解和讨论.
- 以前的研究 (Rouder等人,2009) 将这种模式解释为理想,与Huisman的结论形成对比.
结论:
- 贝叶斯因子是有效的证据衡量标准.
- 关于证据措施的直觉可能需要根据概率理论进行调整.
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