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Gepubliceerd in: Journal of Autism and Developmental Disorders 5/2015

01-05-2015 | Original Paper

Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development

Auteurs: Lisa D. Wiggins, Ann Reynolds, Catherine E. Rice, Eric J. Moody, Pilar Bernal, Lisa Blaskey, Steven A. Rosenberg, Li-Ching Lee, Susan E. Levy

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 5/2015

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Abstract

The Study to Explore Early Development (SEED) is a multi-site case–control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome.
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Metagegevens
Titel
Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development
Auteurs
Lisa D. Wiggins
Ann Reynolds
Catherine E. Rice
Eric J. Moody
Pilar Bernal
Lisa Blaskey
Steven A. Rosenberg
Li-Ching Lee
Susan E. Levy
Publicatiedatum
01-05-2015
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 5/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-014-2287-3