对于中立事件没有信念更新偏差:未能复制Burton等. (2022年) 在2022年) 在2022年
Neil Garrett1, Tali Sharot2,3,4
1School of Psychology, University of East Anglia, Norwich, UK.
Journal of cognitive psychology (Hove, England)
|November 28, 2023
概括
这项研究挑战了以前关于信念更新的发现,发现没有关于中立事件的学习时存在偏见的证据. 重新分析和新的数据表明,先前关于偏见信念更新的说法是由于统计错误.
科学领域:
- 认知心理学 认知心理学
- 决策科学 决策科学 决策科学
- 计算神经科学是一种神经科学.
背景情况:
- 之前的研究表明,个人表现出一种信念更新偏见,更新信念更多是为了意外的负面事件而不是积极的事件.
- 建议这种偏差特别适用于中性事件,其中结果既不是强烈的积极,也不是负面的.
研究的目的:
- 调查和批判性地评估对中立事件的信念更新偏见的说法.
- 重新检查Burton等人提出的数据和方法. 关于信仰更新的内容.
- 使用类似的设计进行复制研究,但专注于中立事件.
主要方法:
- 伯顿等人的统计再分析. 这是原始数据.
- 使用与中性事件的信念更新任务收集新的实验数据.
- 计算建模的应用,包括强化学习,严格的正确性检查 (参数恢复,模型比较,样本外预测).
主要成果:
- 伯顿和其他人伯顿等人. "的原始数据不支持对中立事件的信念更新偏见.
- 复制研究也未能观察到对中性事件的信念更新偏差.
- 在Burton等人的统计错误和混中发现了统计错误. "的分析,包括模型错误规范和缺乏标准计算模型合适性检查.
结论:
- 几乎没有证据支持对中立事件的信念更新偏见.
- 对于中立事件的偏见更新的原始说法似乎是毫无根据的.
- 在认知和计算建模研究中,方法论和分析的严谨性至关重要.
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