Department of Psychology, National University of Singapore, 9 Arts Link, Singapore, 117570.
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, DeCrespigny Park, Denmark Hill, London, SE5 8AF, UK.
Autism Res. 2017 Oct;10(10):1629-1652. doi: 10.1002/aur.1809. Epub 2017 Jun 2.
Anxiety-related difficulties are common in ASD, but measuring anxiety reliably and validly is challenging. Despite an increasing number of studies, there is no clear agreement on which existing anxiety measure is more psychometrically sound and what is the factor structure of anxiety in ASD. The present study examined the internal consistency, convergent, divergent, and discriminant validity, as well as the factor structure of the Spence Children's Anxiety Scale-Parent Version (SCAS-P), in a large international pooled sample of 870 caregivers of youth with ASD from 12 studies in the United Kingdom, United States, and Singapore who completed the SCAS-P. Most were community recruited, while the majority had at least one measure of ASD symptomatology and either cognitive or adaptive functioning measures completed. Existing SCAS-P total scale and subscales had excellent internal consistency and good convergent, divergent and discriminant validity similar to or better than SCAS-P properties reported in typically developing children, except for the poorer internal consistency of the physical injury subscale. Confirmatory Factor Analysis (CFA) of the existing SCAS-P six-correlated factor structure was a poor fit for this pooled database. Principal component analysis using half of the pooled sample identified a 30-item five correlated factor structure, but a CFA of this PCA-derived structure in the second half of this pooled sample revealed a poor fit, although the PCA-derived SCAS-P scale and subscales had stronger validity and better internal consistency than the original SCAS-P. The study's limitations, the use of the SCAS-P to screen for DSM-derived anxiety problems in ASD and future research directions are discussed. Autism Res 2017, 10: 1629-1652. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
焦虑相关的困难在 ASD 中很常见,但可靠有效地测量焦虑是具有挑战性的。尽管有越来越多的研究,但对于哪种现有的焦虑测量方法在心理测量学上更可靠,以及 ASD 中的焦虑的因素结构是什么,尚无明确共识。本研究在一个由来自英国、美国和新加坡的 12 项研究的 870 名 ASD 青少年的照顾者组成的大型国际样本中,检验了斯宾塞儿童焦虑量表-家长版(SCAS-P)的内部一致性、聚合、发散和判别效度,以及其因子结构。这些照顾者大多是从社区招募的,其中大多数人至少有一项 ASD 症状学的测量和认知或适应功能的测量。现有的 SCAS-P 总分和分量表具有极好的内部一致性,并且具有良好的聚合、发散和判别效度,与在典型发展儿童中报告的 SCAS-P 特性相似或更好,除了身体伤害分量表的内部一致性较差。现有的 SCAS-P 六相关因素结构的验证性因子分析(CFA)对这个汇总数据库拟合不佳。使用汇总样本的一半进行主成分分析,确定了一个 30 项 5 个相关因素结构,但在汇总样本的另一半中进行这个 PCA 衍生结构的 CFA 显示拟合不佳,尽管 PCA 衍生的 SCAS-P 量表和分量表具有更强的有效性和更好的内部一致性,而不是原始的 SCAS-P。该研究的局限性、使用 SCAS-P 筛查 ASD 中的 DSM 衍生焦虑问题以及未来的研究方向也进行了讨论。自闭症研究 2017, 10: 1629-1652. © 2017 国际自闭症研究协会,威利期刊,公司。