Improving Your Statistical Questions

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/improving-statistical-questions

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课程大纲

Module 1: Improving Your Statistical Questions
Module 2: Falsifying Predictions
Module 3: Designing Informative Studies
Module 4: Meta-Analysis and Bias Detection
Module 5: Computational Reproducibility, Philosophy of Science, and Scientific Integrity
Module 6: Final Exam

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This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions. In practical hands on assignments you will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, evaluate findings in the literature while keeping publication bias into account, performing a meta-analysis, and making your analyses computationally reproducible. If you have the time, it is recommended that you complete my course 'Improving Your Statistical Inferences' before enrolling in this course, although this course is completely self-contained.

改善统计问题:本课程旨在帮助您在进行实证研究时提出更好的统计问题。无论您的预测正确还是错误,我们都会讨论如何设计信息性研究。我们将质疑规范,并思考如何改进研究实践以提出更有趣的问题。在实际动手作业中,您将学习可以在自己的研究中立即实施的技术和工具,例如思考您感兴趣的最小效应量,证明样本量合理,评估文献中的发现,同时考虑发表偏见。 ,执行元分析,并使您的分析在计算上可重现。 如果您有时间,建议您在报名参加本课程之前先完成我的课程“改善统计推论”,尽管本课程完全是独立的。

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