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.

doi:10.1007/s10803-014-2287-3

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

Published Date:

May 2015

Publisher's site:

http://dx.doi.org/10.1007/s10803-014-2287-3 New Site Icon

Source:

J Autism Dev Disord. 2014; 45(5):1271-1280.

[PDF - 560.76 KB]

Details:

Personal Authors:

Wiggins, Lisa D. ; Reynolds, Ann ; Rice, Catherine E. ; Moody, Eric J. ; Bernal, Pilar ; ... More ▼

Keywords:

[+]

Pubmed ID:

25348175

Pubmed Central ID:

PMC4486213

Description:

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.

Document Type:

Journal Article

Collection(s):

CDC Public Access

Funding:

LSW0/Intramural CDC HHS/United States
U10DD000180/DD/NCBDD CDC HHS/United States
U10DD000181/DD/NCBDD CDC HHS/United States
U10DD000182/DD/NCBDD CDC HHS/United States
U10DD000183/DD/NCBDD CDC HHS/United States
U10DD000184/DD/NCBDD CDC HHS/United States
U10DD000498/DD/NCBDD CDC HHS/United States

Supporting Files:

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