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01-05-2015 | Original Paper | Uitgave 5/2015

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

Tijdschrift:: Journal of Autism and Developmental Disorders > Uitgave 5/2015

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

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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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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
DOI: https://doi.org/10.1007/s10803-014-2287-3
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Uitgave 5/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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

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