论文标题
可重复性指南的比较及其对本科统计教育的影响
A Comparison of Reproducibility Guidelines and Its Implications on Undergraduate Statistical Education
论文作者
论文摘要
在本文中，我们复制了一个贝叶斯教育研究项目，该项目探讨了美国宽带访问与在线课程入学之间的关联。我们从复制中总结了关键发现，并将其与原始项目进行了比较。根据我的复制经验，我们旨在证明研究复制的挑战，即使公开共享代码和数据并且GitHub上材料的质量也很高。此外，我们研究了研究人员知识水平的隐性假设，并讨论了这种假设如何为科学研究的复制带来困难。最后，我们希望这篇文章能阐明可重复性标准的设计，并为探索本科统计教育中应教的内容提供一个空间。
In this paper, we replicated a Bayesian educational research project, which explores the association between broadband access and online course enrollment in the US. We summarized key findings from our replication and compared them with the original project. Based on my replication experience, we aim to demonstrate the challenges of research reproduction, even when codes and data are shared openly and the quality of the materials on GitHub are high. Moreover, we investigate the implicit presumptions of the researchers' level of knowledge and discuss how such presumptions may add difficulty to the reproduction of scientific research. Finally, we hope this article sheds light on the design of reproducibility criterion and opens up a space to explore what should be taught in undergraduate statistics education.
