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A Comparison Among Different Approaches to Data from Single Subject Designs

机译:单一主题设计中不同数据处理方法之间的比较

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Both practical and theoretical concerns motivate carefiil evaluation of treatment programs for aphasia and related disorders. A common paradigm for interventions at preliminary stages of development is based on data from individual patients. These designs typically include a baseline phase during which several observations are made of some stable target behavior, followed by an intervention. The question is whether an important diftrence in behavior can be attributed to the intervention. Single subject designs can provide methodological rigor and flexibility. However, there is uncertainty concerning the most appropriate approaches to data analysis. This paper outlines conceptual and statistical challenges and, then, compares two novel approaches to data analysis, (1) a combination of multiple regression and time series procedures and (2) a bootstrapping/simulation approach.
机译:实际和理论上的关注都促使对失语症和相关疾病的治疗方案进行认真评估。在开发的初期阶段,干预的常见范例是基于个别患者的数据。这些设计通常包括一个基线阶段,在此阶段,将对一些稳定的目标行为进行一些观察,然后进行干预。问题是行为上的重要差异是否可以归因于干预。单主题设计可以提供方法上的严格性和灵活性。但是,对于最合适的数据分析方法仍存在不确定性。本文概述了概念和统计方面的挑战,然后比较了两种新颖的数据分析方法:(1)多元回归和时间序列过程的组合;(2)自举/模拟方法。

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