两步正态变换在重新检验现有理论中的作用

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Gary F. Templeton, Michael Brian Pope, Laurie L. Burney
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引用次数: 1

摘要

两步正态变换已被证明可以可靠地将连续变量转换为正态。该程序为研究人员提供了一个有能力的替代更突出的方法,如winsorization,排序和权力转换。我们在生产力悖论文献流的背景下展示了它的实用性,该文献流以不一致的结果而闻名。本文证明,在生产率悖论研究中尚未使用的两步正态变换可能产生更大的拟合优度,并影响对该主题的理论理解。我们使用经典的生产率悖论数据集来显示,与突出的正态变换相比,两步法产生了独特的发现,包括1)回归系数更接近原始数据,2)不同的效应大小和显著性水平,以及3)加强了生产率悖论文献中基本理论的证据。我们展示的结果挑战了IT投资与企业绩效之间关系的不确定性。我们的研究结果表明,在未来的信息系统研究中,两步法应被视为一种可行的转换选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Usefulness of the Two-Step Normality Transformation in Retesting Existing Theories
The Two-Step normality transformation has been shown to reliably transform continuous variables toward normality. The procedure offers researchers a capable alternative to more prominent methods, such as winsorization, ranking, and power transformations. We demonstrate its utility in the context of the Productivity Paradox literature stream, which is renowned for inconsistent results. This paper demonstrates that the Two-Step normality transformation, which has not been used in Productivity Paradox research, may produce greater goodness-of-fit and affect theoretical understandings on the topic. We use a classic Productivity Paradox dataset to show that compared to the prominent normality transformations, the Two-Step produces unique findings, including 1) regression coefficients more closely resembling the original data, 2) different effect sizes and significance levels, and 3) strengthening evidence for fundamental theories in Productivity Paradox literature. We demonstrate results that challenge uncertainties about the relationship between IT investment and firm performance. Our results imply that the Two-Step procedure should be considered a viable transformation option in future information systems research.
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
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