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Journal of Autism and Developmental Disorders

Gepubliceerd in:

01-07-2013 | Original Paper

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

Auteurs: So Hyun Kim, Audrey Thurm, Stacy Shumway, Catherine Lord

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 7/2013

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.

vorige artikel Recognition of Emotions in Autism: A Formal Meta-Analysis

volgende artikel Science, Technology, Engineering, and Mathematics (STEM) Participation Among College Students with an Autism Spectrum Disorder

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Titel: Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
Auteurs: So Hyun Kim
Audrey Thurm
Stacy Shumway
Catherine Lord
Publicatiedatum: 01-07-2013
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 7/2013
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-012-1696-4

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