Restricted and repetitive behaviors (RRB) in autism spectrum disorder (ASD) encompass several distinct domains. However, commonly used general ASD measures provide broad RRB scores rather than assessing separate RRB domains. The main objective of the current investigation was to conduct a psychometric evaluation of the ability of the Social Responsiveness Scale (SRS-2), the Social Communication Questionnaire (SCQ), the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) to capture different RRB constructs. Exploratory Structural Equation Modeling (ESEM) was conducted using individual item-level data from the SRS-2, SCQ, ADI-R and the ADOS. Data were obtained from five existing publicly available databases. For the SRS-2, the final sample consisted of N = 16,761 individuals (Mage = 9.43, SD = 3.73; 18.5% female); for the SCQ, of N = 15,840 (Mage = 7.99, SD = 4.06; 18.1% female); for the ADI-R, of N = 8985 (Mage = 8.86, SD = 4.68; 19.4% female); and for the ADOS, of N = 6314 (Mage = 12.29, SD = 6.79; 17.7% female). The three-factor structure provided the most optimal and interpretable fit to data for all measures (comparative fit index ≥ .983, Tucker Lewis index ≥ .966, root mean square error of approximation ≤ .028). Repetitive-motor behaviors, insistence on sameness and unusual or circumscribed interests factors emerged across all instruments. No acceptable fit was identified for the ADOS. The five datasets used here afforded a large as well as wide distribution of the RRB item scores. However, measures used for establishing convergent and divergent validity were only available for a portion of the sample. Reported findings offer promise for capturing important RRB domains using general ASD measures and highlight the need for measurement development.

中文翻译：

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使用大数据方法来阐明最常用的自闭症谱系障碍测量中的限制性和重复性行为的结构


自闭症谱系障碍 (ASD) 中的限制性和重复性行为 (RRB) 涵盖几个不同的领域。然而，常用的一般 ASD 测量提供广泛的 RRB 分数，而不是评估单独的 RRB 域。当前调查的主要目的是对社会反应量表（SRS-2）、社会沟通问卷（SCQ）、自闭症诊断访谈修订版（ADI-R）和自闭症诊断的能力进行心理测量评估观察计划 (ADOS) 用于捕获不同的 RRB 结构。探索性结构方程模型 (ESEM) 使用来自 SRS-2、SCQ、ADI-R 和 ADOS 的单个项目级数据进行。数据来自五个现有的公开数据库。对于 SRS-2，最终样本由 N = 16,761 人组成（Mage = 9.43，SD = 3.73；18.5% 为女性）；对于 SCQ，N = 15,840（法师 = 7.99，SD = 4.06；18.1% 女性）；对于 ADI-R，N = 8985（法师 = 8.86，SD = 4.68；19.4% 女性）；对于 ADOS，N = 6314（法师 = 12.29，SD = 6.79；17.7% 女性）。三因素结构为所有测量数据提供了最佳且可解释的拟合（比较拟合指数 ≥ .983，Tucker Lewis 指数 ≥ .966，近似均方根误差 ≤ .028）。所有工具都出现了重复运动行为、对千篇一律的坚持以及不寻常或受限的兴趣因素。没有发现 ADOS 可接受的配合。这里使用的五个数据集提供了 RRB 项目分数的大量且广泛的分布。然而，用于建立趋同效度和发散效度的测量方法仅适用于部分样本。 报告的研究结果为使用通用 ASD 测量捕获重要的 RRB 领域提供了希望，并强调了测量开发的必要性。