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21-11-2017 | Brief Report | Uitgave 3/2018

Brief Report: Checklist for Autism Spectrum Disorder: Most Discriminating Items for Diagnosing Autism

Tijdschrift:: Journal of Autism and Developmental Disorders > Uitgave 3/2018

Auteur:: Susan D. Mayes

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Abstract

The smallest subset of items from the 30-item Checklist for Autism Spectrum Disorder (CASD) that differentiated 607 referred children (3–17 years) with and without autism with 100% accuracy was identified. This 6-item subset (CASD-Short Form) was cross-validated on an independent sample of 397 referred children (1–18 years) with and without autism and on data from 1417 children in the CASD standardization sample and 1052 children in the CASD normative sample, resulting in 98.5, 97.6, and 99.8% diagnostic accuracy, respectively. Diagnostic agreement was high between the CASD-Short Form and the Autism Diagnostic Interview-Revised (96%), and the Child Autism Rating Scale (98%). Diagnostic accuracy for the CASD-SF was similar to accuracy for the 30-item CASD full form.

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Meer informatie

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Mayes, S. D., Calhoun, S. L., Mayes, R. D., & Molitoris, S. (2012). Autism and ADHD: Overlapping and discriminating symptoms. Research in Autism Spectrum Disorders, 6, 277–285. CrossRef

Mayes, S. D., Calhoun, S. L., Murray, M. J., Morrow, J. D., Yurich, K. K. L., Mahr, F., Cothren, S., Purichia, H., Bouder, J. N., & Petersen, C. (2009). Comparison of scores on the Checklist for Autism Spectrum Disorder, Childhood Autism Rating Scale (CARS), and Gilliam Asperger’s Disorder Scale (GADS) for children with low functioning autism, high functioning autism or Asperger’s disorder, ADHD, and typical development. Journal of Autism and Developmental Disorders, 39, 1682–1693. CrossRefPubMed

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Titel: Brief Report: Checklist for Autism Spectrum Disorder: Most Discriminating Items for Diagnosing Autism
Auteur:: Susan D. Mayes
Publicatiedatum: 21-11-2017
DOI: https://doi.org/10.1007/s10803-017-3401-0
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Uitgave 3/2018
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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