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首页> 外文期刊>Frontiers in Psychology >Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness
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Why Can Only 24% Solve Bayesian Reasoning Problems in Natural Frequencies: Frequency Phobia in Spite of Probability Blindness

机译:为什么只有24%的人能够解决自然频率中的贝叶斯推理问题:尽管有盲目性,但频率恐惧症

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For more than 20 years, research has proven the beneficial effect of natural frequencies when it comes to solving Bayesian reasoning tasks (Gigerenzer and Hoffrage, 1995). In a recent meta-analysis, McDowell and Jacobs (2017) showed that presenting a task in natural frequency format increases performance rates to 24% compared to only 4% when the same task is presented in probability format. Nevertheless, on average three quarters of participants in their meta-analysis failed to obtain the correct solution for such a task in frequency format. In this paper, we present an empirical study on what participants typically do wrong when confronted with natural frequencies. We found that many of them did not actually use natural frequencies for their calculations, but translated them back into complicated probabilities instead. This switch from the intuitive presentation format to a less intuitive calculation format will be discussed within the framework of psychological theories (e.g., the Einstellung effect).
机译:20多年来,研究证明了自然频率在解决贝叶斯推理任务方面的有益作用(Gigerenzer和Hoffrage,1995)。在最近的荟萃分析中,McDowell和Jacobs(2017)表明,以自然频率格式呈现任务可以将性能率提高到24%,而以概率格式呈现相同任务时则只有4%。然而,平均而言,四分之三的参加荟萃分析的参与者未能以频率格式为此类任务获得正确的解决方案。在本文中,我们对参与者在遇到自然频率时通常会犯错的内容进行了实证研究。我们发现它们中的许多实际上并没有使用自然频率进行计算,而是将其转换回复杂的概率。从直观表示形式到不太直观的计算格式的这种转换将在心理学理论的框架内进行讨论(例如,Einstellung效应)。

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