United States and South Korean citizens’ interpretation and assessment of COVID-19 quantitative data

United States and South Korean citizens’ interpretation and assessment of COVID-19 quantitative data
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DOI:
10.1016/j.jmathb.2021.100865
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发表时间:
2021-03-02
期刊:
The Journal of Mathematical Behavior
影响因子:
--
通讯作者:
Drimalla J
Drimalla J
中科院分区:
其他
文献类型:
--
作者:
Yoon H;Byerley CO;Joshua S;Moore K;Park MS;Musgrave S;Valaas L;Drimalla J

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我们调查了美国和韩国公民的数学方案,以及这些方案如何支持或阻碍他们评估COVID-19严重程度的尝试。我们选择了基于网络和媒体的COVID-19数据表示,我们假设公民会根据他们的数学方案进行不同的解释。我们包括了我们认为更容易或更难解释的项目,这些项目分别与先前研究报告的或多或少有效的方案相结合。我们在与25名美国公民和7名韩国公民的临床访谈中使用了这些陈述。我们说明了公民的数学方案(以及他们的信仰)影响了他们如何评估COVID-19的严重性。我们展示了公民的方案,这些方案禁止以与显示的定量数据兼容的方式解释COVID-19的表述,帮助他们评估COVID-19的严重性的方案,以及对科学数据可靠性的信念,这些信念推翻了他们的数学结论。
We investigate United States and South Korean citizens’ mathematical schemes and how these schemes supported or hindered their attempts to assess the severity of COVID-19. We selected web and media-based COVID-19 data representations that we hypothesized citizens would interpret differently depending on their mathematical schemes. We included items that we conjectured would be easier or more difficult to interpret with schemes that prior research had reported were more or less productive, respectively. We used the representations during clinical interviews with 25 United States and seven South Korean citizens. We illustrate that citizens’ mathematical schemes (as well as their beliefs) impacted how they assessed the severity of COVID-19. We present vignettes of citizens’ schemes that inhibited interpreting representations of COVID-19 in ways compatible with the displayed quantitative data, schemes that aided them in assessing the severity of COVID-19, and beliefs about the reliability of scientific data that overrode their mathematical conclusions.
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