Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers

Autor/inn/en	Kim, So Hyun; Thurm, Audrey; Shumway, Stacy; Lord, Catherine
Titel	Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
Quelle	In: Journal of Autism and Developmental Disorders, 43 (2013) 7, S.1527-1538 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0162-3257
DOI	10.1007/s10803-012-1696-4
Schlagwörter	Autism; Toddlers; Preschool Children; Clinical Diagnosis; Diagnostic Tests; Interviews; Validity; Factor Structure; Replication (Evaluation) + 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; Diagnostic test; Diagnostischer Test; Interviewing; Interviewtechnik; Gültigkeit; Faktorenstruktur
Abstract	Using two independent datasets provided by National Institute of Health funded consortia, the Collaborative Programs for Excellence in Autism and Studies to Advance Autism Research and Treatment (n = 641) and the National Institute of Mental Health (n = 167), diagnostic validity and factor structure of the new Autism Diagnostic Interview (ADI-R) algorithms for toddlers and young preschoolers were examined as a replication of results with the 2011 Michigan sample (Kim and Lord in "J Autism Dev Disord" 42(1): 82-93, 2012). Sensitivities and specificities and a three-factor solution were replicated. Results suggest that the new ADI-R algorithms can be appropriately applied to existing research databases with children from 12 to 47 months and down to nonverbal mental ages of 10 months for diagnostic grouping. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10