Lanovaz Marc J, Cardinal Patrick, Francis Mary
1 Université de Montréal, Québec, Canada.
2 Centre de recherche du CHU Sainte-Justine, Montreal, Québec, Canada.
Behav Modif. 2019 Jan;43(1):115-131. doi: 10.1177/0145445517739278. Epub 2017 Nov 2.
Although visual inspection remains common in the analysis of single-case designs, the lack of agreement between raters is an issue that may seriously compromise its validity. Thus, the purpose of our study was to develop and examine the properties of a simple structured criterion to supplement the visual analysis of alternating-treatment designs. To this end, we generated simulated data sets with varying number of points, number of conditions, effect sizes, and autocorrelations, and then measured Type I error rates and power produced by the visual structured criterion (VSC) and permutation analyses. We also validated the results for Type I error rates using nonsimulated data. Overall, our results indicate that using the VSC as a supplement for the analysis of systematically alternating-treatment designs with at least five points per condition generally provides adequate control over Type I error rates and sufficient power to detect most behavior changes.
尽管在单病例设计分析中，目视检查仍然很常见，但评分者之间缺乏一致性是一个可能严重损害其有效性的问题。因此，我们研究的目的是开发并检验一种简单的结构化标准的特性，以补充交替治疗设计的目视分析。为此，我们生成了具有不同点数、条件数、效应大小和自相关性的模拟数据集，然后测量了视觉结构化标准（VSC）和置换分析产生的I型错误率和检验效能。我们还使用非模拟数据验证了I型错误率的结果。总体而言，我们的结果表明，将VSC作为对每个条件至少有五个点的系统性交替治疗设计分析的补充，通常能对I型错误率提供充分控制，并具有足够的检验效能来检测大多数行为变化。
