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Introducing undergraduates to concepts of survey data analysis
Journal of Statistics Education Pub Date : 2020-02-26 , DOI: 10.1080/10691898.2020.1720552
Pamela S. Fellers 1 , Shonda Kuiper 1
Affiliation  

Abstract Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and corresponding student lab activities designed to help students and teachers of statistics better understand survey design and analysis. The introductory and advanced materials presented are designed to focus on a conceptual understanding of survey data and provide an awareness of the challenges and potential misuse of survey data. Suggestions and examples of how to incorporate these materials are also included. Supplementary materials for this article are available online.

中文翻译:

向大学生介绍调查数据分析的概念

摘要越来越多的学生(尤其是社会科学领域的学生)使用通过比简单随机样本更为复杂的抽样方法收集的调查数据。不了解如何正确处理调查数据可能会导致结果不准确。在本文中,我们描述了一系列在线数据可视化应用程序和相应的学生实验室活动,旨在帮助统计专业的学生和教师更好地理解调查设计和分析。所介绍的入门和高级材料旨在侧重于对调查数据的概念理解,并提供对调查数据的挑战和潜在滥用的认识。还包括有关如何合并这些材料的建议和示例。可在线获得本文的补充材料。
更新日期:2020-02-26
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