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在单病例实验设计中,将非重叠指数与视觉分析相结合以量化干预效果。

Incorporating nonoverlap indices with visual analysis for quantifying intervention effectiveness in single-case experimental designs.

作者信息

Brossart Daniel F, Vannest Kimberly J, Davis John L, Patience Marc A

机构信息

a Texas A&M University , College Station , TX , USA.

出版信息

Neuropsychol Rehabil. 2014;24(3-4):464-91. doi: 10.1080/09602011.2013.868361. Epub 2014 Feb 5.

Abstract

The field of neuropsychological rehabilitation frequently employs single case experimental designs (SCED) in research, but few if any, of the published studies use the effect sizes recommended by the American Psychological Association. Among the available methods for analysing single case designs, this paper focuses on nonoverlap methods. This paper provides examples and suggestions for integrating visual and statistical analysis, pointing out where contradictions may occur and how to be a critical consumer.

摘要

神经心理康复领域在研究中经常采用单病例实验设计(SCED),但已发表的研究中很少(如果有的话)使用美国心理学会推荐的效应量。在分析单病例设计的现有方法中,本文重点关注非重叠方法。本文提供了整合视觉分析和统计分析的示例与建议,指出可能出现矛盾的地方以及如何成为一个批判性的使用者。

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