He Huizhong, Ye Ningxiao, Yi Lixin, Zhang Kuo, Chen Yangyi
Department of Special Education, Faculty of Education, Beijing Normal University, Beijing, China.
Cixi Special Education School, Cixi, China.
Int J Dev Disabil. 2023 Feb 1;70(7):1245-1250. doi: 10.1080/20473869.2023.2171757. eCollection 2024.
Restricted and repetitive behavior (RRB) is one of the two core diagnostic features used to determine the severity of autism spectrum disorder (ASD). The Repetitive Behavior Scale‑Revised (RBS-R) is widely used to measure the presence and severity of a variety of RRBs in individuals with ASD. Previous studies have implemented a factor analysis framework to examine the RBS-R, while there're still inconsistencies in the use of the measure. This study analyzed the validity and reliability of the RBS-R using data from 315 Chinese children aged 9-16 with ASD. The results showed that the original tested items were adaptable to the Chinese cultural environment when treating such disorders. A confirmatory factor analysis indicated that a 6-factor model was most suitable for evaluating RRB in this context. Consistent with previous studies, the 6-factor model was preferred because of its fit statistics in evaluating RRBs using data from Chinese children with ASD aged 9-16. It's necessary to implement the same structure (e.g. 6-factor model) of the RBS-R to enable efficient comparisons of results across studies. Validating the RBS-R cross different contexts and using longitudinal data are helpful to advance our knowledge of RRB.
受限及重复行为(RRB)是用于确定自闭症谱系障碍(ASD)严重程度的两个核心诊断特征之一。修订版重复行为量表(RBS-R)被广泛用于测量ASD个体中各种RRB的存在情况及严重程度。以往研究采用因素分析框架来检验RBS-R,但在该量表的使用上仍存在不一致之处。本研究使用来自315名9至16岁中国ASD儿童的数据,分析了RBS-R的有效性和可靠性。结果表明,在治疗此类疾病时,原始测试项目适用于中国文化环境。验证性因素分析表明,六因素模型最适合在此背景下评估RRB。与以往研究一致,由于其在使用9至16岁中国ASD儿童数据评估RRB时的拟合统计量,六因素模型更受青睐。有必要采用相同结构(如六因素模型)的RBS-R,以便在不同研究之间进行有效的结果比较。在不同背景下验证RBS-R并使用纵向数据有助于增进我们对RRB的了解。