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

J Autism Dev Disord. 2013 Jul;43(7):1527-38. doi: 10.1007/s10803-012-1696-4.

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 types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Validation Study

MeSH terms

  • Algorithms*
  • Child Development Disorders, Pervasive / classification
  • Child Development Disorders, Pervasive / diagnosis*
  • Child Development Disorders, Pervasive / psychology
  • Child, Preschool
  • Communication
  • Facial Expression
  • Female
  • Humans
  • Infant
  • Interview, Psychological*
  • Male
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results
  • Social Behavior
  • Stereotyped Behavior