The validity and reliability of the simplified Chinese version of the Social Communication Questionnaire

This study aims to validate the simplified Chinese version of the Social Communication Questionnaire (SCQ) in children aged 2-12 years from both general and clinical populations. We recruited 819 Chinese children in this study, including 505 typically developing (TD) children, 202 children with autism spectrum disorder (ASD) and 112 children with non-ASD neurodevelopmental disorders. All the children's parents completed the simplified Chinese version of the SCQ and all children with ASD were additionally assessed for intelligence and the Childhood Autism Rating Scale to confirm their diagnosis. We have developed a 40-item, 4-factor structure of SCQ with two domains (social communication and social interaction; and restricted, repetitive, and stereotyped patterns of behavior), which showed adequate goodness of fit (comparative fit index [CFI] = 0.96, Tucker-Lewis index [TLI] = 0.95, standardized root mean squared residual [SRMR] = 0.07, root mean square error of approximation [RMSEA] = 0.05), with good internal consistency (Cronbach's alpha = 0.92). We have provided different cut-offs to distinguish ASD cases from TD children (11 for children under 4 years [sensitivity: 0.96, specificity: 0.95], 12 for children 4 years and above [sensitivity: 0.93, specificity: 0.98]) or children with other neurodevelopmental disorders (14 [sensitivity: 0.85, specificity: 0.88]). Through this large sample validation, we confirmed that the simplified Chinese version of the SCQ could be used for children aged 2-12 years with relatively good psychometric properties. LAY SUMMARY: We aimed to develop the simplified Chinese version of the Social Communication Questionnaire (SCQ) for Chinese children aged 2-12 years as a screening tool to identified potential risk of autism spectrum disorder (ASD). We have developed a 40-item, 4-factor structure of SCQ with two domains, which showed adequate goodness of fit and good psychometric properties. We also provided different cut-offs to identify ASD cases in general or clinical populations.