[article] 
inJournal of Autism and Developmental Disorders > 43-7 (July 2013) . - p.1527-1538

Titre :	Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers
Type de document :	Texte imprimé et/ou numérique
Auteurs :	So Hyun KIM, Auteur ; Audrey THURM, Auteur ; Stacy SHUMWAY, Auteur ; Catherine LORD, Auteur
Année de publication :	2013
Article en page(s) :	p.1527-1538
Langues :	Anglais (eng)
Mots-clés :	Early diagnosis  Autism spectrum disorders  Autism diagnostic interview-revised
Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	http://dx.doi.org/10.1007/s10803-012-1696-4
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202

[article] Multisite Study of New Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers [Texte imprimé et/ou numérique] / So Hyun KIM, Auteur ; Audrey THURM, Auteur ; Stacy SHUMWAY, Auteur ; Catherine LORD, Auteur . - 2013 . - p.1527-1538.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 43-7 (July 2013) . - p.1527-1538

Mots-clés :	Early diagnosis  Autism spectrum disorders  Autism diagnostic interview-revised
Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	http://dx.doi.org/10.1007/s10803-012-1696-4
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=202