Center for Autism Research Excellence, Department of Psychological and Brain Sciences, Boston University, 100 Cummington Mall, Boston, MA, 02215, USA.
Boston University, 100 Cummington Mall, Boston, MA, 02215, USA.
J Autism Dev Disord. 2020 Jul;50(7):2287-2306. doi: 10.1007/s10803-018-3628-4.
The role of language in autism spectrum disorder (ASD), more specifically, its function in social communication and strong predictive power on future outcomes, warrants language assessments that have good psychometric properties that capture the heterogeneity of language ability found among diagnosed individuals. Given the rapid growth in intervention and treatment research, there is an urgent need for the development and implementation of outcome measures that are easily obtained and sensitive to change. In this commentary, we argue for the use of natural language samples as measures of expressive language and communication for this purpose and review the literature on their implementation in ASD research. Conceptual and measurement issues are discussed and future developments are outlined.
语言在自闭症谱系障碍（ASD）中的作用，更具体地说，它在社会交流中的功能及其对未来结果的强大预测能力，需要具有良好心理测量特性的语言评估，以捕捉到诊断个体中语言能力的异质性。鉴于干预和治疗研究的快速增长，迫切需要开发和实施易于获取且对变化敏感的结果测量。在这篇评论中，我们主张将自然语言样本用作表达语言和交流的测量，以达到这一目的，并回顾了 ASD 研究中实施自然语言样本的文献。讨论了概念和测量问题，并概述了未来的发展。
