Single-case experimental designs (SCEDs) are a useful tool for evaluating the effects of interventions at an individual level and can play an important role in the development and validation of evidence-based practices. Historically, researchers relied on visual analysis of SCED data and eschewed statistical approaches. Although researchers increasingly include quantitative analysis in SCED research, it does not appear as though there is a consensus in the field regarding the role of quantitative analysis of SCED data. Using a survey of researchers with published SCED studies, this study provides preliminary evidence of the range of researchers’ opinions about quantitative analysis of SCED data. The results suggest that there is a broad range of opinions regarding the role of quantitative analysis of SCED data among active SCED researchers. Some of the differences may be attributable to field of study and years of experience.

单例实验设计 (SCED) 是评估个体层面干预措施效果的有用工具，可以在循证实践的开发和验证中发挥重要作用。从历史上看，研究人员依赖于 SCED 数据的可视化分析并避开统计方法。尽管研究人员越来越多地将定量分析纳入 SCED 研究，但该领域似乎并未就 SCED 数据定量分析的作用达成共识。本研究使用对已发表 SCED 研究的研究人员的调查，为研究人员对 SCED 数据定量分析的意见范围提供了初步证据。结果表明，在活跃的 SCED 研究人员中，对于 SCED 数据的定量分析的作用存在广泛的意见。