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

TitleMultisite study of new autism diagnostic interview-revised (ADI-R) algorithms for toddlers and young preschoolers.
Publication TypeJournal Article
Year of Publication2013
AuthorsKim SHyun, Thurm A, Shumway S, Lord C
JournalJ Autism Dev Disord
Volume43
Issue7
Pagination1527-38
Date Published2013 Jul
ISSN1573-3432
KeywordsAlgorithms, Child Development Disorders, Pervasive, Child, Preschool, Communication, Facial Expression, Female, Humans, Infant, Interview, Psychological, Male, Psychometrics, Reproducibility of Results, Social Behavior, Stereotyped Behavior
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.

DOI10.1007/s10803-012-1696-4
Alternate JournalJ Autism Dev Disord
PubMed ID23114567
PubMed Central IDPMC3594108
Grant ListR25MH067723 / MH / NIMH NIH HHS / United States
/ / Intramural NIH HHS / United States
R25 MH067723 / MH / NIMH NIH HHS / United States
F32 MH066469 / MH / NIMH NIH HHS / United States
R01MH066469 / MH / NIMH NIH HHS / United States