Kranak Michael P, Hall Scott S
Department of Human Development and Child Studies, Oakland University, Rochester, MI USA.
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Room 1365, Stanford, CA 94305-5795 USA.
Perspect Behav Sci. 2021 May 24;45(1):53-75. doi: 10.1007/s40614-021-00290-2. eCollection 2022 Mar.
Functional analysis (FA) is an integral component of behavioral assessment and treatment given that clinicians design behavioral treatments based on FA results. Unfortunately, the interrater reliability of FA data interpretation by visual analysis can be inconsistent, potentially leading to ineffective treatment implementation. Hall et al. (2020) recently developed automated nonparametric statistical analysis (ANSA) to facilitate the interpretation of FA data and Kranak et al. (2021) subsequently extended and validated ANSA by applying it to unpublished clinical data. The results of both Hall et al. and Kranak et al. support ANSA as an emerging statistical supplement for interpreting FA data. In the present article, we show how ANSA can be applied to interpret FA data collected in clinical settings in multielement and pairwise designs. We provide a detailed overview of the calculations involved, how to use ANSA in practice, and recommendations for its implementation. A free web-based application is available at https://ansa.shinyapps.io/ansa/.
The online version contains supplementary material available at 10.1007/s40614-021-00290-2.
功能分析（FA）是行为评估和治疗的一个重要组成部分，因为临床医生会根据功能分析结果设计行为治疗方案。不幸的是，通过视觉分析对功能分析数据进行解释时，不同评估者之间的可靠性可能不一致，这可能导致治疗实施无效。霍尔等人（2020年）最近开发了自动非参数统计分析（ANSA）来促进对功能分析数据的解释，随后克拉纳克等人（2021年）将其应用于未发表的临床数据，对自动非参数统计分析进行了扩展和验证。霍尔等人和克拉纳克等人的研究结果均支持将自动非参数统计分析作为解释功能分析数据的一种新兴统计补充方法。在本文中，我们展示了如何将自动非参数统计分析应用于解释在临床环境中多元素和成对设计中收集的功能分析数据。我们详细概述了所涉及的计算、在实践中如何使用自动非参数统计分析以及对其实施的建议。可通过https://ansa.shinyapps.io/ansa/获取一个基于网络的免费应用程序。
在线版本包含可在10.1007/s40614-021-00290-2获取的补充材料。
