Mason Lee, Otero Maria, Andrews Alonzo
Child Study Center, Cook Children's Health Care System, 1300 West Lancaster Avenue, Fort Worth, TX 76110 USA.
Burnett School of Medicine, Texas Christian University, Fort Worth, TX USA.
Perspect Behav Sci. 2024 Apr 30;47(2):471-498. doi: 10.1007/s40614-024-00404-6. eCollection 2024 Jun.
The functional analysis of complex verbal behavior requires an evaluation of topographically similar responses under multiple sources of control. Traditional graphical displays of behavior were designed to show the manipulation of isolated controlling variables and may not be amenable to displaying the multidimensional properties of complex behavior. Researchers have recently demonstrated the use of multiaxial radar charts for comparing the functional performance of biological systems. Here we extend the use of multidimensional analyses to compare the relative performance distributions of verbal behavior across four potential controlling variables. First, we provide a conceptual analysis of intraverbal and extraverbal control as continua along which stimuli range from formal to thematic and explain how the intersection of these stimulus fields creates a radar chart for multidimensional analysis. Then we demonstrate how data may be gathered through a verbal operant experimental analysis. We employed repeated measures to map the conditioning history of a child with autism spectrum disorder across 2 years of early intensive behavioral intervention and analyzed the results using shape descriptors for quantitative comparisons. We also compared the polygonal language profiles of children with autism against that of a neurotypical peer. Extending a multidimensional analysis to the field of verbal behavior provides the basis for a language growth chart that researchers and clinicians can use to monitor language acquisition over time. We discuss the use of radar charts as a framework for understanding the interdependence of verbal operants and suggest their use for complex analyses of complex verbal behavior.
The online version contains supplementary material available at 10.1007/s40614-024-00404-6.
对复杂言语行为的功能分析需要在多种控制源下对地形相似的反应进行评估。传统的行为图形显示旨在展示对孤立控制变量的操纵,可能不适用于展示复杂行为的多维特性。研究人员最近展示了使用多轴雷达图来比较生物系统的功能性能。在这里,我们扩展了多维分析的用途,以比较言语行为在四个潜在控制变量上的相对性能分布。首先,我们对语内控制和语外控制进行概念分析,将其视为连续体,刺激在其中从形式到主题变化,并解释这些刺激场的交集如何创建用于多维分析的雷达图。然后我们演示如何通过言语操作实验分析收集数据。我们采用重复测量来绘制一名自闭症谱系障碍儿童在两年早期强化行为干预期间的条件作用历史,并使用形状描述符分析结果以进行定量比较。我们还将自闭症儿童的多边形语言轮廓与神经典型同伴的进行了比较。将多维分析扩展到言语行为领域为语言成长图表提供了基础,研究人员和临床医生可以使用该图表来监测随时间的语言习得情况。我们讨论了使用雷达图作为理解言语操作相互依存关系的框架,并建议将其用于复杂言语行为的复杂分析。
在线版本包含可在10.1007/s40614-024-00404-6获取的补充材料。