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- Title
Multisite study of new autism diagnostic interview-revised (ADI-R) algorithms for toddlers and young preschoolers.
- Authors
Kim, So Hyun; Thurm, Audrey; Shumway, Stacy; Lord, Catherine
- 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.
- Publication
Journal of autism and developmental disorders, 2013, Vol 43, Issue 7, p1527
- ISSN
1573-3432
- Publication type
Journal Article
- DOI
10.1007/s10803-012-1696-4