ERIC Number: EJ1059070
Record Type: Journal
Publication Date: 2015-May
Abstractor: As Provided
Reference Count: 30
Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development
Wiggins, Lisa D.; Reynolds, Ann; Rice, Catherine E.; Moody, Eric J.; Bernal, Pilar; Blaskey, Lisa; Rosenberg, Steven A.; Lee, Li-Ching; Levy, Susan E.
Journal of Autism and Developmental Disorders, v45 n5 p1271-1280 May 2015
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.
Descriptors: Autism, Pervasive Developmental Disorders, Case Studies, Correlation, Etiology, Genetics, Behavior Problems, Interests, Classification, Clinical Diagnosis
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Autism Diagnostic Observation Schedule