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自动化非参数统计分析在临床环境中的应用。

Application of automated nonparametric statistical analysis in clinical contexts.

机构信息

Oakland University.

Kennedy Krieger Institute.

出版信息

J Appl Behav Anal. 2021 Apr;54(2):824-833. doi: 10.1002/jaba.789. Epub 2020 Oct 20.

Abstract

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ANSA to another validated supplemental aid (i.e., the structured criteria method) and investigate its utility with unpublished clinical FA data.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.

摘要

功能分析(FA)为临床医生提供了设计行为治疗的依据。不幸的是,FA 结果的视觉分析的评分者间信度可能不一致。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,Hall 等人(2020 年)提供了一个使用自动非参数统计分析(ANSA)来解释 FA 数据的概念验证。他们的结果表明 ANSA 作为一种补充工具具有前景。然而,他们仅使用已发表的 FA 数据集评估了 ANSA,这些数据集可能不能代表临床护理中常见的 FA。因此,本研究的目的是将 ANSA 与另一种经过验证的补充工具(即结构化标准方法)进行比较,并研究其在未发表的临床 FA 数据中的效用。我们的结果与 Hall 等人的结果一致,表明 ANSA 可能增强对 FA 数据的临床解释。讨论了 ANSA 的临床应用建议和研究人员的未来方向。

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