Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, California, USA.
UCLA Semel Institute 68-268, Los Angeles, California, USA.
Autism Res. 2024 Sep;17(9):1830-1843. doi: 10.1002/aur.3218. Epub 2024 Aug 16.
Minimally verbal children constitute a portion of the autism spectrum. The paucity of proper measurement tools that sensitively and accurately assess behaviors has been one limiting factor in the improved knowledge of these children. Short of creating and validating a new measurement tool for this subpopulation, this study took an alternative and more immediate approach: conduct a secondary data analysis and examine an existing social communication measure, the Early Social Communication Scales (ESCS), with item response theory. The final sample consisted of 453 minimally verbal children culled from four different completed studies. The IRT models analyzed the frequency of social communication gestures from the ESCS and returned an objective difficulty hierarchy regarding initiations of joint attention and behavior regulation gestures. The best-fitting and final model was a zero-inflated negative binomial model (ZINBM), which determined that joint attention gestures were, on average, more difficult than behavior regulation gestures. Joint attentional shows and gives were essentially absent in the children's repertoire, and behavior regulation reaches were the easiest gestures for this sample. The ZINBM separately modeled children with some gestures and children who did not present with any gestures and determined that behavior regulation reaches and gives were likely the first gestures a child will eventually exhibit among children with no gestures. Methodological contributions and potential future applications of IRT are discussed.
极轻度言语儿童构成自闭症谱系的一部分。缺乏能够敏感且准确评估行为的适当测量工具,是提高对这些儿童认识的一个限制因素。在为该亚人群创建和验证新的测量工具之前,本研究采取了另一种更直接的方法:进行二次数据分析,并使用项目反应理论检验现有的社交沟通测量工具——早期社交沟通量表(ESCS)。最终样本由从四个已完成的研究中筛选出的 453 名极轻度言语儿童组成。IRT 模型分析了 ESCS 中的社交沟通手势频率,并返回了关于共同注意力和行为调节手势发起的客观难度层次结构。最佳拟合和最终模型是零膨胀负二项模型(ZINBM),它确定共同注意力手势平均比行为调节手势更难。在孩子们的表现中,注意力展示和给予基本上是不存在的,而行为调节触及是这个样本中最容易的手势。ZINBM 分别对有一些手势的儿童和没有任何手势的儿童进行建模,并确定行为调节触及和给予可能是没有任何手势的儿童最终会表现出的第一批手势。讨论了 IRT 的方法学贡献和潜在的未来应用。