New Autism Diagnostic Interview-Revised Algorithms for Toddlers and Young Preschoolers from 12 to 47 Months of Age

Autor/inn/en	Kim, So Hyun; Lord, Catherine
Titel	New Autism Diagnostic Interview-Revised Algorithms for Toddlers and Young Preschoolers from 12 to 47 Months of Age
Quelle	In: Journal of Autism and Developmental Disorders, 42 (2012) 1, S.82-93 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-011-1213-1
Schlagwörter	Autism; Toddlers; Preschool Children; Evaluation Research; Comparative Analysis; Pervasive Developmental Disorders; Developmental Disabilities; Disability Identification; Diagnostic Tests; Interviews; Statistical Analysis + Suchen Sie Ihr Suchwort? Autismus; Infant; Infants; Toddler; Kleinkind; Pre-school age; Preschool age; Child; Children; Pre-school education; Preschool education; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder; Vorschulerziehung; Vorschule; Evaluationsforschung; Entwicklungsstörung; Diagnostic test; Diagnostischer Test; Interviewing; Interviewtechnik; Statistische Analyse
Abstract	Autism Diagnostic Interview-Revised (Rutter et al. in "Autism diagnostic interview-revised." Western Psychological Services, Los Angeles, 2003) diagnostic algorithms specific to toddlers and young preschoolers were created using 829 assessments of children aged from 12 to 47 months with ASD, nonspectrum disorders, and typical development. The participants were divided into three more homogeneous groups by language level and age. Items that best differentiated the diagnostic groups were selected and arranged into domains based on multifactor item-response analyses. Using the new algorithms for toddlers and preschool children, we were able to improve sensitivity and specificity compared to the previously developed algorithm. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10