arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1904.02457cs.SE
收藏

软件工程中人因研究的实用统计方法--关于定量数据验证的讨论

Useful Statistical Methods for Human Factors Research in Software Engineering: A Discussion on Validation with Quantitative Data

Lucas Gren, Alfredo Goldman

摘要:

在本文中,我们描述了统计验证技术的有用性人为因素调查研究。我们需要调查的多样性的有效性方面时,在人为因素的研究中创建度量,我们认为,在其他领域中使用的统计测试,以获得支持的可靠性和结构效度的调查,也应适用于人为因素的研究在软件工程更频繁。我们还简要介绍了如何应用这些方法(测试-再测试,克朗巴赫的α,探索性因素分析)。

英文摘要:

In this paper we describe the usefulness of statistical validation techniques for human factors survey research. We need to investigate a diversity of validity aspects when creating metrics in human factors research, and we argue that the statistical tests used in other fields to get support for reliability and construct validity in surveys, should also be applied to human factors research in software engineering more often. We also show briefly how such methods can be applied (Test-Retest, Cronbach's α, and Exploratory Factor Analysis).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑