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. 2003 Jul;42(7):864-72.
doi: 10.1097/01.CHI.0000046870.56865.90.

A principal components analysis of the Autism Diagnostic Interview-Revised

Ovsanna Tadevosyan-Leyfer  1 , Michael Dowd, Raymond Mankoski, Brian Winklosky, Sara Putnam, Lauren McGrath, Helen Tager-Flusberg, Susan E Folstein
Affiliations

A principal components analysis of the Autism Diagnostic Interview-Revised

Ovsanna Tadevosyan-Leyfer et al. J Am Acad Child Adolesc Psychiatry. 2003 Jul.

Abstract

Objective: To develop factors based on the Autism Diagnostic Interview-Revised (ADI-R) that index separate components of the autism phenotype that are genetically relevant and validated against standard measures of the constructs.

Method: ADIs and ADI-Rs of 292 individuals with autism were subjected to a principal components analysis using VARCLUS. The resulting variable clusters were validated against standard measures.

Results: Six clusters of variables emerged: spoken language, social intent, compulsions, developmental milestones, savant skills and sensory aversions. Five of the factors were significantly correlated with the validating measures and had good internal consistency, face validity, and discriminant and construct validity. Most intraclass correlations between siblings were adequate for use in genetic studies.

Conclusion: The ADI-R contains correlated clusters of variables that are valid, genetically relevant, and that can be used in a variety of studies.

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