What to consider when we consider data

What to consider when we consider data
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当我们考虑数据时要考虑什么

DOI:
10.1111/test.12275
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发表时间:
2021
影响因子:
0.8
通讯作者:
Rubin, Andee
Rubin, Andee
中科院分区:
--
文献类型:
--
作者:
Rubin, Andee

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随着时间的推移,统计学教育中使用的数据集已经发生了变化,从数学上“表现良好”的数据集,方便了计算,到更丰富的上下文来源,现在,随着数据科学实践的影响越来越大,到“发现”数据,通常来自开放数据站点。随着数据来源的变化,教育工作者必须重新审视我们让学生思考他们所遇到的数据生成过程的方式。对已收集数据的使用需要特别注意,因为在获取数据的过程中所做的许多决定是隐藏的。学生们需要学会问“谁,何时,如何,何地,为什么?”数据被收集,并想知道这些数据是否真的衡量了需要衡量的东西。我们在本文中的主张是深化对数据生产的教育处理,以更好地反映当前和未来的统计和数据科学实践。
The data sets used in statistics education have changed over time, from mathematically “well‐behaved” ones that facilitated computation, to more context‐rich sources and now, with the increasing influence of data science practices, to “found” data, often from open data sites. As data sources change, it is important for educators to take a fresh look at the ways we engage students in thinking about the processes that generated the data they encounter. The use of already collected data requires particular attention because many of the decisions that went into the processes of obtaining the data are hidden. Students need to learn to ask “Who, When, How, Where, and Why?” data were collected and to wonder if the data really measure what needs to be measured. Our advocacy in this paper is to deepen the educational treatment of data production to better reflect the current and future practice of statistics and data science.
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