Title | Multisite study of new autism diagnostic interview-revised (ADI-R) algorithms for toddlers and young preschoolers. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Kim SHyun, Thurm A, Shumway S, Lord C |
Journal | J Autism Dev Disord |
Volume | 43 |
Issue | 7 |
Pagination | 1527-38 |
Date Published | 2013 Jul |
ISSN | 1573-3432 |
Keywords | Algorithms, 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. |
DOI | 10.1007/s10803-012-1696-4 |
Alternate Journal | J Autism Dev Disord |
PubMed ID | 23114567 |
PubMed Central ID | PMC3594108 |
Grant List | R25MH067723 / 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 |