Single‐case research methods provide a basis for demonstrating that an intervention produces a reliable change in a targeted outcome for individual cases. To supplement visual analysis of data in single‐case studies, researchers frequently report statistics—often referred to as effect sizes—to summarize study findings. The recent proliferation of effect sizes used in single‐case research can be confusing. In this article, after reviewing single‐case research, we provide an overview of common types of effect sizes used in single‐case research, including overlap metrics and within‐ and between‐participant effect sizes, and conclude with examples of these effect sizes in the single‐case literature. Our take‐home message is that effect sizes are useful complements to visual analysis when interpreting results of single‐case design research studies.

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理解单例设计效果的大小

单例研究方法为证明干预措施针对个别病例的目标结果产生了可靠的变化提供了基础。为了补充单例研究中数据的视觉分析，研究人员经常报告统计数据（通常称为效应量）以总结研究结果。最近在单例研究中使用的效应量激增可能令人困惑。在本文中，在回顾了单案例研究之后，我们概述了单案例研究中使用的常见效应大小类型，包括重叠度量以及参与者内部和参与者之间的效应大小，并以这些效应大小的示例作为总结。单例文献。我们得出的结论是，当解释单个案例设计研究的结果时，效果大小是视觉分析的有用补充。