Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers

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 struc...

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Bibliographic Details
Published in:Journal of autism and developmental disorders 2013-07, Vol.43 (7), p.1527-1538
Main Authors: Kim, So Hyun, Thurm, Audrey, Shumway, Stacy, Lord, Catherine
Format: Article
Language:English
Subjects:
Algorithms
Autism
Behavioral Science and Psychology
Biological and medical sciences
Child and School Psychology
Child clinical studies
Child Development Disorders, Pervasive - classification
Child Development Disorders, Pervasive - diagnosis
Child Development Disorders, Pervasive - psychology
Child, Preschool
Children
Clinical Diagnosis
Communication
Consortia
Developmental disorders
Diagnosis
Diagnostic Tests
Facial Expression
Factor Structure
Female
Health aspects
Humans
Infant
Infantile autism
Interview, Psychological
Interviews
Male
Medical research
Medical sciences
Medicine, Experimental
Mental Age
Neurosciences
Original Paper
Pediatrics
Pervasive developmental disorders
Preschool Children
Psychology
Psychology. Psychoanalysis. Psychiatry
Psychometrics - statistics & numerical data
Psychopathology. Psychiatry
Public Health
Replication (Evaluation)
Reproducibility of Results
Social Behavior
Stereotyped Behavior
Toddlers
Validity
Young Children
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Description
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