title: Multisite study of new autism diagnostic interview-revised (ADI-R) algorithms for toddlers and young preschoolers.
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.
authors.affiliation: Yale Child Study Center, Yale University School of Medicine, 40 Temple St. Suite 7-D, New Haven, CT 06510, USA. so-hyun.kim@yale.edu
authors.forename: So Hyun
authors.initials: SH
authors.lastname: Kim
authors.forename: Audrey
authors.initials: A
authors.lastname: Thurm
authors.forename: Stacy
authors.initials: S
authors.lastname: Shumway
authors.forename: Catherine
authors.initials: C
authors.lastname: Lord
mesh_terms: D000465:Algorithms; D002659:Child Development Disorders, Pervasive / Q000145:classification / Q000175:diagnosis* / Q000523:psychology; D002675:Child, Preschool; D003142:Communication; D005149:Facial Expression; D005260:Female; D006801:Humans; D007223:Infant; D007406:Interview, Psychological; D008297:Male; D011594:Psychometrics / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012919:Social Behavior; D013239:Stereotyped Behavior