Dowdy Art, Jessel Joshua, Saini Valdeep, Peltier Corey
Department of Teaching and Learning, Temple University.
Department of Psychology, Queens College.
J Appl Behav Anal. 2022 Mar;55(2):451-462. doi: 10.1002/jaba.899. Epub 2021 Dec 28.
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.
视觉分析是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，视觉分析人员之间的一致性有时可能不太理想。为了解决对SCED数据解释不一致的问题，最近已经开发出了结构化视觉分析技术。为了评估结构化视觉分析在多大程度上被用于指导或补充应用行为分析师对SCED图表的解释，对2015年至2020年期间《应用行为分析杂志》进行了系统综述。研究结果表明，尽管最近努力开发结构化视觉分析工具和标准，但这些方法很少用于分析SCED数据。本文分享了结构化视觉分析工具的概述，阐述了它们的效用，揭示了共同特征，并突出了研究及其临床应用的未来方向。
