Visual analysis is the predominant method of analysis in single-case research (SCR). However, most research suggests that agreement between visual analysts is poor, which may be due to a lack of clear guidelines and criteria for visual analysis, as well as variability in how individuals are trained. We developed a survey containing questions about the content and methods used to teach visual and statistical analysis of SCR data in verified course sequences (VCS) and distributed it via the VCS Coordinator Listserv. Thirty-seven instructors completed the survey. Results suggest that there is variability across instructors in some fundamental aspects of data analysis (e.g., number of effects required for a functional relation) but a great deal of consistency in others (e.g., emphasizing visual over statistical analysis). We discuss our results along with their implications both for teaching students to analyze SCR data and for conducting additional research on behavior-analytic training programs.

视觉分析是单一案例研究（SCR）中的主要分析方法。然而，大多数研究表明，视觉分析师之间的一致性很差，这可能是由于缺乏明确的视觉分析指南和标准，以及个人培训方式的可变性。我们开发了一项调查，其中包含有关在验证课程序列 (VCS) 中教授 SCR 数据的可视化和统计分析的内容和方法的问题，并通过 VCS 协调员 Listserv 分发。37 名教师完成了调查。结果表明，在数据分析的某些基本方面（例如，功能关系所需的效果数量），教师之间存在差异，但在其他方面（例如，强调视觉而非统计分析）具有很大的一致性。