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模糊统计信息的频率解释有助于贝叶斯推理。

Frequency interpretation of ambiguous statistical information facilitates Bayesian reasoning.

作者信息

Brase Gary L

机构信息

Department of Psychology, Kansas State University, Manhattan, Kansas 66506, USA.

出版信息

Psychon Bull Rev. 2008 Apr;15(2):284-9. doi: 10.3758/pbr.15.2.284.

DOI:10.3758/pbr.15.2.284
PMID:18488641
Abstract

The idea that naturally sampled frequencies facilitate performance in statistical reasoning tasks because they are a cognitively privileged representational format has been challenged by findings that similarly structured numbers presented as chances similarly facilitate performance, on the basis of the claim that these are technically single-event probabilities. A crucial opinion, however, is that of the research participants, who possibly interpret chances as de facto frequencies. A series of experiments here indicate that not only is performance improved by clearly presented natural frequencies, rather than chances phrasing, but also that participants who interpreted chances as frequencies, rather than as probabilities, were consistently better at statistical reasoning. This result was found across different variations of information presentation and across different populations.

摘要

自然抽样频率有助于统计推理任务表现的观点,是因为它们是一种认知上优越的表征形式,但这一观点受到了如下研究结果的挑战:以概率形式呈现的结构相似的数字同样有助于表现,其依据是这些实际上是单事件概率。然而,一个关键观点是研究参与者的观点,他们可能将概率解释为事实上的频率。这里的一系列实验表明,不仅清晰呈现的自然频率而非概率表述能提高表现,而且将概率解释为频率而非概率的参与者在统计推理方面始终表现得更好。这一结果在信息呈现的不同变体和不同人群中都能发现。

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本文引用的文献

1
Participant recruitment methods and statistical reasoning performance.
Q J Exp Psychol (Hove). 2006 May;59(5):965-76. doi: 10.1080/02724980543000132.
2
Representation facilitates reasoning: what natural frequencies are and what they are not.具象化有助于推理:什么是自然频率以及它们不是什么。
Cognition. 2002 Jul;84(3):343-52. doi: 10.1016/s0010-0277(02)00050-1.
3
Solving probabilistic and statistical problems: a matter of information structure and question form.解决概率与统计问题:信息结构与问题形式的问题
另一次好好推理的机会。
Psychon Bull Rev. 2017 Dec;24(6):1995-2002. doi: 10.3758/s13423-017-1252-5.
4
Natural frequencies improve Bayesian reasoning in simple and complex inference tasks.自然频率在简单和复杂推理任务中能提高贝叶斯推理能力。
Front Psychol. 2015 Oct 14;6:1473. doi: 10.3389/fpsyg.2015.01473. eCollection 2015.
5
Toward an ecological analysis of Bayesian inferences: how task characteristics influence responses.迈向贝叶斯推理的生态分析:任务特征如何影响反应。
Front Psychol. 2015 Aug 4;6:939. doi: 10.3389/fpsyg.2015.00939. eCollection 2015.
6
Comprehension and computation in Bayesian problem solving.贝叶斯问题解决中的理解与计算。
Front Psychol. 2015 Jul 27;6:938. doi: 10.3389/fpsyg.2015.00938. eCollection 2015.
7
Natural frequencies facilitate diagnostic inferences of managers.自然频率有助于管理者进行诊断推理。
Front Psychol. 2015 Jun 22;6:642. doi: 10.3389/fpsyg.2015.00642. eCollection 2015.
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Good fences make for good neighbors but bad science: a review of what improves Bayesian reasoning and why.好篱笆造就好邻居,但却是糟糕的科学:对改善贝叶斯推理的因素及其原因的综述。
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9
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Beyond the status-quo: research on Bayesian reasoning must develop in both theory and method.超越现状:贝叶斯推理的研究必须在理论和方法两方面都有所发展。
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