ABSTRACT

Evidence-based practice in management assigns a high value to research results as a guide to practices that have been rigorously shown to be effective. To emphasize the practical relevance and outcomes for information systems research, statistical research should generally report its effect sizes. Specifying effect sizes not only reveals the utility of our results, but it also enables evidence-based practitioners to easily compare the known effects of different interventions applied in different studies. Effect size reporting has become a standard practice in many fields, however, though information systems researchers have adopted many other elements of statistical rigor, effect sizes are often overlooked. This paper surveys the current use of effect size calculations in information systems research, explains how such effects sizes are calculated, offers recommendations on when each of the different formulae is appropriate, and provides foundational work toward an index of expected effect sizes in information systems research.

摘要

在管理中基于证据的实践为研究结果赋予了很高的价值，作为对已被严格证明有效的实践的指南。为了强调信息系统研究的实际意义和成果，统计研究通常应报告其影响程度。指定效果的大小不仅揭示了我们结果的效用，而且还使基于证据的从业人员可以轻松比较在不同研究中应用的不同干预措施的已知效果。效果大小报告已成为许多领域的标准实践，但是，尽管信息系统研究人员采用了许多严格的统计元素，但效果大小通常被忽略。本文调查了影响大小计算在信息系统研究中的当前使用情况，解释了如何计算影响大小，