The Pennsylvania State University, University Park, USA.
University of Iowa, USA.
Behav Modif. 2023 May;47(3):615-643. doi: 10.1177/01454455221130002. Epub 2022 Nov 13.
Applied behavior analysts have traditionally relied on visual analysis of graphic data displays to determine the extent of functional relations between variables and guide treatment implementation. The present study assessed the influence of graph type on behavior analysts' ( = 51) ratings of trend magnitude, treatment decisions based on changes in trend, and their confidence in decision making. Participants examined simulated data presented on linear graphs featuring equal-interval scales as well as graphs with ratio scales (i.e., multiply/divide or logarithmic vertical axis) and numeric indicators of celeration. Standard rules for interpreting trends using each display accompanied the assessment items. Results suggested participants maintained significantly higher levels of agreement on evaluations of trend magnitude and treatment decisions and reported higher levels of confidence in making decisions when using ratio graphs. Furthermore, decision making occurred most efficiently with ratio charts and a celeration value. The findings have implications for research and practice.
应用行为分析师传统上依赖于对图形数据显示的视觉分析来确定变量之间功能关系的程度,并指导治疗的实施。本研究评估了图表类型对行为分析师(= 51)对趋势幅度的评估、基于趋势变化的治疗决策以及他们对决策的信心的影响。参与者检查了在具有等距刻度的线性图以及具有比例刻度(即乘/除或对数垂直轴)和加速度数值指标的图上呈现的模拟数据。评估项目伴随着使用每种显示方式解释趋势的标准规则。结果表明,参与者在评估趋势幅度和治疗决策方面保持了显著更高的一致性水平,并且在使用比例图时报告了更高的决策信心水平。此外,使用比例图表和加速度值可以最有效地进行决策。研究结果对研究和实践具有重要意义。