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The probabilistic reasoning in “real-world” context: some reflections about the judgement in medical problem solving

机译:“现实世界”环境中的概率推理:关于解决医学问题中的判断的一些思考

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This work aims to assess the probabilistic reasoning applied in the “real-world” context, specifically referring to the judgement in medical problem solving, applied by unexperienced individuals. It was carried out a mixed methods approach, in which data collected by quantitative methods was integrated with data collected in qualitative method. The open response to the probabilistic medical problem was assessed and classified using the structure of the observed learning outcome (SOLO) taxonomy. This assessment was associated with quantitative data related to the correctness of the response, with the confidence in the response, and with numerical and visuospatial abilities assessed using Thurstone’s Primary Mental Abilities (PMA) scales. The data were collected while administering the problem to 352 Italian undergraduates in psychology, who had no statistical knowledge. Few individuals gave the correct answer and few applied high levels of reasoning. Furthermore, many exhibited low levels of confidence in the correctness of their responses. It was found that the participants often applied avoidance strategies. The implications of these findings with respect to applied perspectives will be discussed.
机译:这项工作旨在评估在“现实世界”背景下应用的概率推理,特别是通过未经验的个体施加的医学问题解决中的判断。它进行了一种混合方法方法,其中通过定量方法收集的数据与在定性方法中收集的数据集成。利用观察到的学习结果(独奏)分类法的结构评估和分类对概率医学问题的开放反应。该评估与与响应的正确性有关的定量数据有关,在响应的信心,以及使用Thurstone的主要心理能力(PMA)尺度评估的数值和探测能力。这些数据是收集的,同时向352个意大利人的心理学中的问题进行问题,他们没有统计知识。很少有人给出了正确的答案,很少应用高度推理。此外,许多人对其反应的正确性表现出低水平的置信度。发现参与者经常申请避免策略。将讨论这些发现对应用观点的影响。

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