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

Lucas Gren, A. Goldman
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引用次数: 10

Abstract

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 alpha, and Exploratory Factor Analysis).
软件工程中人因研究的有用统计方法——定量数据验证的探讨
本文描述了统计验证技术在人为因素调查研究中的有效性。在人为因素研究中创建度量时,我们需要调查有效性方面的多样性,并且我们认为在其他领域中用于支持调查中的可靠性和构建有效性的统计测试也应该更多地应用于软件工程中的人为因素研究。我们还简要展示了如何应用这些方法(Test-Retest, Cronbach's alpha和探索性因子分析)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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