Single-case experimental designs (SCEDs) are frequently used to evaluate whether a functional relation exists between interventions and student outcomes. A critical factor in decision making is the evaluation of graphical data, typically displayed in time-series graphs. Distortion in the graphical display of data can lead to invalid decisions on whether a functional relation exists, as well as overestimating the magnitude of an effect. Previous research has identified two potentially analysis-altering elements that when manipulated alter visual analysts’ decision regarding the presence of a functional relation and magnitude of effect. The purpose of this review was to evaluate the graphical display of data from SCEDs in the field of emotional and behavioral disorders (EBD). The review included 40 SCEDs, including 258 graphs, published in Behavioral Disorders and Journal of Emotional and Behavioral Disorders over the last 10 years (2010–2019). We identified large variation in the axis proportions of reviewed graphs, as measured using standardized x:y and the data points per x- to y-axis ratio (DPPXYR). A majority of graphs included an ordinate scaling procedure that aligns with findings from preliminary research on this analysis-altering element. We provide recommendations to the field on designing graphs to enhance the validity of visual analysis.

单例实验设计（SCED）通常用于评估干预和学生成绩之间是否存在功能关系。决策中的关键因素是对图形数据的评估，通常在时序图中显示。数据的图形显示中的失真可能导致对是否存在功能关系的判断无效，并且可能高估效果的大小。先前的研究已经确定了两个潜在的改变分析的元素，这些元素在被操纵时会改变视觉分析师对功能关系的存在和影响程度的决策。这篇综述的目的是评估情绪和行为障碍（EBD）领域中来自SCED的数据的图形显示。该评价包括40种SCED，包括258张图，发表于过去10年（2010-2019年）的行为障碍和情绪和行为障碍杂志。我们使用标准的x：y和每x - y轴比率（DPPXYR）所测量的数据，确定了已查看图表的轴比例有很大变化。大多数图形包括纵坐标缩放程序，该程序与对该分析更改元素的初步研究结果相一致。我们为设计图形领域提供建议，以增强视觉分析的有效性。