Visual analysis is the primary method used to interpret single-case experimental design (SCED) data in applied behavior analysis. Research shows that agreement between visual analysts can be suboptimal at times. To address the inconsistent interpretations of SCED data, recent structured visual-analysis technological advancements have been developed. To assess the extent to which structured visual analysis is used to guide or supplement applied behavior analysts' interpretation of SCED graphs, a systematic review between the years of 2015 to 2020 in the Journal of Applied Behavior Analysis was conducted. Findings showed that despite recent efforts to develop structured visual-analysis tools and criteria, these methods are rarely used to analyze SCED data. An overview of structured visual-analysis tools is shared, their utility is delineated, common characteristics are brought to light, and future directions for both research and their clinical use are highlighted.

中文翻译：

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单案例实验设计数据的结构化可视化分析：发展和技术进步

视觉分析是在应用行为分析中用于解释单案例实验设计 (SCED) 数据的主要方法。研究表明，视觉分析师之间的一致性有时可能不是最理想的。为了解决对 SCED 数据的不一致解释，已经开发了最近的结构化视觉分析技术进步。为了评估结构化视觉分析在多大程度上用于指导或补充应用行为分析师对 SCED 图的解释，应用行为分析杂志上2015 年至 2020 年间的系统评价进行了。调查结果表明，尽管最近努力开发结构化的可视化分析工具和标准，但这些方法很少用于分析 SCED 数据。分享了结构化可视化分析工具的概述，描述了它们的效用，揭示了共同特征，并强调了研究及其临床应用的未来方向。