Investigating and Communicating the Uncertainty of Effects: The Power of Graphs
指出创业研究应关注效应的不确定性，而非仅依赖统计显著性检验，并主张用图形展示效应分布来更有效地沟通和评估不确定性，以支持理论构建并指导实践者与政策制定者。
Entrepreneurial activities are inherently risky and related outcomes uncertain. Consequently, empirical studies to build entrepreneurship theory need to investigate not only the direction and average size of effects but also the uncertainty of these effects. Current research published in academic entrepreneurship journals tends to focus on dichotomous likelihood evaluations employing statistical significance tests. This editorial argues that graphs communicating the distribution of observed effects offer a far more useful way to communicate, evaluate, and discuss uncertainty. Publishing such graphs will support theory building and offer more meaningful guidance to practitioners and policy makers.