Modifying the Autism Spectrum Rating Scale (6–18 years) to a Chinese Context: An Exploratory Factor Analysis

Hao Zhou, Lili Zhang, Xuerong Luo, Lijie Wu, Xiaobing Zou, Kun Xia, Yimin Wang, Xiu Xu, Xiaoling Ge, Yong Hui Jiang, Eric Fombonne, Weili Yan, Yi Wang

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The purpose of this study was to explore the psychometric properties of the Chinese version of the autism spectrum rating scale (ASRS). We recruited 1,625 community-based children and 211 autism spectrum disorder (ASD) cases from 4 sites, and the parents of all participants completed the Chinese version of the ASRS. A robust weighted least squares means and variance adjusted estimator was used for exploratory factor analysis. The 3-factor structure included 59 items suitable for the current sample. The item reliability for the modified Chinese version of the ASRS (MC-ASRS) was excellent. Moreover, with 60 as the cut-off point, receiver operating characteristic analysis showed that the MC-ASRS had excellent discriminate validity, comparable to that of the unmodified Chinese version (UC-ASRS), with area under the curve values of 0.952 (95% CI: 0.936–0.967) and 0.948 (95% CI: 0.930–0.965), respectively. Meanwhile, the confirm factor analysis revealed that MC-ASRS had a better construct validity than UC-ASRS based on the above factor solution in another children sample. In conclusion, the MC-ASRS shows better efficacy in epidemiological screening for ASD in Chinese children.

Original languageEnglish (US)
Pages (from-to)175-182
Number of pages8
JournalNeuroscience Bulletin
Issue number2
StatePublished - Apr 1 2017


  • Autism spectrum disorder
  • Children
  • Epidemiology
  • Exploratory factor analysis
  • Screening

ASJC Scopus subject areas

  • Neuroscience(all)
  • Physiology


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