Functional analyses (FAs) provide clinicians with results upon which they design behavioral treatments. Unfortunately, interrater reliability of visual analysis of FA results can be inconsistent. Accordingly, researchers have designed quantitative metrics and visual aids to supplement visual analysis. Recently, Hall et al. (2020) provided a proof of concept for using automated nonparametric statistical analysis (ANSA) to interpret FA data. Their results show promise for ANSA as a supplemental tool. However, they evaluated ANSA with only published FA datasets, which may not be representative of FAs commonly encountered in clinical care. Therefore, the purpose of this replication was to compare ANSA to another validated supplemental aid (i.e., the structured criteria method) and investigate its utility with unpublished clinical FA data. Our results were consistent with Hall et al.’s, indicating ANSA may augment clinical interpretation of FA data. Recommendations for clinical applications of ANSA and future directions for researchers are discussed.

中文翻译：

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自动化非参数统计分析在临床环境中的应用

功能分析 (FA) 为临床医生提供设计行为治疗的结果。不幸的是，FA 结果的视觉分析的交互者间可靠性可能不一致。因此，研究人员设计了定量指标和视觉辅助工具来补充视觉分析。最近，霍尔等人。(2020) 提供了使用自动非参数统计分析 (ANSA) 来解释 FA 数据的概念证明。他们的结果显示了 ANSA 作为补充工具的前景。然而，他们仅使用已发布的 FA 数据集评估 ANSA，这可能不能代表临床护理中常见的 FA。因此，此复制的目的是将 ANSA 与另一种经过验证的补充辅助工具（即结构化标准方法）进行比较，并利用未发表的临床 FA 数据研究其效用。我们的结果与 Hall 等人的结果一致，表明 ANSA 可能会增强对 FA 数据的临床解释。讨论了 ANSA 临床应用的建议和研究人员的未来方向。