Single-case research is a prevalent and useful method for evaluating the effects of interventions in special education research. A single-case graph “should make available all of the data that permit evaluation of the criteria for visual inspection, at the very least,” while not misleading inspectors (Kazdin, 2011, p. 335). Although this is widely known, it poses challenges for multifaceted dependent variables, such as those that address both rate and a measure of quality, such as fidelity. Both factors may be important to accurately interpret intervention effects, such as those within cascading interventions implemented by natural change agents. However, representing both in a single graph is challenging. In response to this challenge, we present a single data set from a multiple-baseline design graphed in six distinct formats. Across these graphs, we discuss implications for visual analysis and interpretation and invite discussion of this important area of single-case research in search of recommendations for best practice.

单一案例研究是评估特殊教育研究干预效果的一种普遍且有用的方法。单一案例图表“至少应该提供允许评估目视检查标准的所有数据”，同时不会误导检查员（Kazdin，2011 年，第 335 页）。尽管这是众所周知的，但它对多方面的因变量提出了挑战，例如那些同时处理速率和质量度量的变量，例如保真度。这两个因素对于准确解释干预效果可能很重要，例如由自然变化推动者实施的级联干预中的干预效果。然而，在一个单一的图表中表示两者是具有挑战性的。为了应对这一挑战，我们提供了一个来自多基线设计的单一数据集，以六种不同的格式绘制。