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J Autism Dev Disord. 2013 Jul;43(7):1527-38. doi: 10.1007/s10803-012-1696-4.

Multisite study of new autism diagnostic interview-revised (ADI-R) algorithms for toddlers and young preschoolers.

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  • 1Yale Child Study Center, Yale University School of Medicine, 40 Temple St. Suite 7-D, New Haven, CT 06510, USA. so-hyun.kim@yale.edu

Abstract

Using two independent datasets provided by National Institute of Health funded consortia, the Collaborative Programs for Excellence in Autism and Studies to Advance Autism Research and Treatment (n = 641) and the National Institute of Mental Health (n = 167), diagnostic validity and factor structure of the new Autism Diagnostic Interview (ADI-R) algorithms for toddlers and young preschoolers were examined as a replication of results with the 2011 Michigan sample (Kim and Lord in J Autism Dev Disord 42(1): 82-93, 2012). Sensitivities and specificities and a three-factor solution were replicated. Results suggest that the new ADI-R algorithms can be appropriately applied to existing research databases with children from 12 to 47 months and down to nonverbal mental ages of 10 months for diagnostic grouping.

PMID:
23114567
[PubMed - indexed for MEDLINE]
PMCID:
PMC3594108
Free PMC Article
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