Abstract
This study examines the psychometric properties of the Autism Diagnostic Interview-Revised (ADI-R) in the context of DSM-5 in a sample of Chinese children. Using re-mapped ADI-R items and algorithms matched to DSM-5 criteria, and administering to children with autism spectrum disorder (ASD) with and without intellectual disability, attention-deficit hyperactivity disorder, and typically developing, it evidenced high sensitivity and specificity. However, similar to DSM-IV algorithm, the DSM-5 algorithms were better at classifying ASD among children with intellectual disability than among those without intellectual disability. With the DSM-5’s recognition of the spectrum nature of ASD, the performance of the ADI-R can be improved by having finer gradations in the ADI-R scoring and adding more items on the restricted and repetitve behavior domain.
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All authors contribute to the study conception and design. Material preparation, data collection and analysis was performed by KL and EY. The first draft of the manuscript was written by KL and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Lai, K.Y.C., Yuen, E.C.W., Hung, S.F. et al. Autism Diagnostic Interview-Revised Within DSM-5 Framework: Test of Reliability and Validity in Chinese Children. J Autism Dev Disord 52, 1807–1820 (2022). https://doi.org/10.1007/s10803-021-05079-5
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DOI: https://doi.org/10.1007/s10803-021-05079-5