Department of Psychiatry and Behavioral Sciences, Stanford University.
Autism Speaks.
J Clin Child Adolesc Psychol. 2021 Sep-Oct;50(5):609-618. doi: 10.1080/15374416.2019.1669156. Epub 2020 Jan 10.
Research Domain Criteria (RDoC) has posited a set of social dimensions that could be useful in identifying sources of individual variation in social impairments across neurodevelopmental disorders. The current investigation aimed to derive estimates of the RDoC social constructs from the Social Communication Questionnaire (SCQ) and examine whether RDoC social processes, as captured by the SCQ, are best represented by a dimensional, categorical, or hybrid model. Individual SCQ items from 4 databases were combined resulting in a total of 26,407 individuals ( = 8.13 years, = 4.19; 69.1% male). The sample consisted of 60.0% of individuals with autism spectrum disorder (ASD), 6.8% with a range of neurodevelopmental disorders and 33.2% of siblings of individuals with ASD. Comparison of a range of factor solutions through the use of exploratory structural equation modeling and confirmatory factor analysis indicated that a 3-factor structure with separate attachment and affiliation, production of nonfacial and facial communication factors provided excellent fit to the data (comparative fit index = .989, Tucker-Lewis index = .984, root mean square error of approximation = .045). and robustness across clinical groups, age, sex, and verbal status. Comparison between the best-fitting factor analysis, latent class analysis, and factor mixture analysis solutions demonstrated that the RDoC social processes domain is best represented as dimensional. Our findings show promise for capturing some of the important RDoC social constructs using the SCQ but also highlight crucial areas for the development of new, dedicated dimensional measures.
研究领域标准（RDoC）提出了一系列社会维度，这些维度可能有助于确定神经发育障碍患者社交障碍个体差异的来源。本研究旨在从社交沟通问卷（SCQ）中得出 RDoC 社会结构的估计值，并检验 SCQ 所捕捉的 RDoC 社会过程是否最好由维度、分类或混合模型来表示。来自 4 个数据库的个体 SCQ 项目被合并，总共得到 26407 人（平均年龄 8.13 岁，SD=4.19；69.1%为男性）。样本包括 60.0%的自闭症谱系障碍（ASD）个体、6.8%的各种神经发育障碍个体和 33.2%的 ASD 个体的兄弟姐妹。通过使用探索性结构方程模型和验证性因子分析比较了一系列因素解决方案，结果表明，具有独立的依恋和从属关系、非面部和面部沟通因素的 3 因素结构为数据提供了极好的拟合（比较拟合指数=0.989，Tucker-Lewis 指数=0.984，均方根误差逼近值=0.045），并且在临床组、年龄、性别和语言状态方面具有稳健性。最佳拟合因子分析、潜在类别分析和因子混合分析解决方案之间的比较表明，RDoC 社会过程领域最好用维度来表示。我们的研究结果表明，使用 SCQ 可以捕捉到 RDoC 社会结构的一些重要方面，但也突出了开发新的、专门的维度测量的关键领域。
