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

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Title: Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development
Language: English
Authors: Wiggins, Lisa D., Reynolds, Ann, Rice, Catherine E., Moody, Eric J., Bernal, Pilar, Blaskey, Lisa, Rosenberg, Steven A., Lee, Li-Ching, Levy, Susan E.
Source: Journal of Autism and Developmental Disorders. May 2015 45(5):1271-1280.
Availability: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Peer Reviewed: Y
Page Count: 10
Publication Date: 2015
Document Type: Journal Articles
Reports - Research
Descriptors: Autism, Pervasive Developmental Disorders, Case Studies, Correlation, Etiology, Genetics, Behavior Problems, Interests, Classification, Clinical Diagnosis
Assessment and Survey Identifiers: Autism Diagnostic Observation Schedule
DOI: 10.1007/s10803-014-2287-3
ISSN: 0162-3257
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.
Abstractor: As Provided
Number of References: 30
Entry Date: 2015
Accession Number: EJ1059070
Database: ERIC
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  Data: Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
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  Data: 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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