Multisite study of new autism diagnostic interview-revised

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...

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Bibliographic Details
Published in:Journal of autism and developmental disorders 2013-07, Vol.43 (7), p.1527
Main Authors: Kim, So Hyun, Thurm, Audrey, Shumway, Stacy, Lord, Catherine
Format: Article
Language:English
Subjects:
Children
Diagnosis
Health aspects
Medical research
Medicine, Experimental
Pervasive developmental disorders
Online Access:Get full text
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Summary: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.
ISSN:0162-3257
1573-3432
DOI:10.1007/s10803-012-1696-4