ePrints

Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non0US Sample of 1,104 Children

Lookup NU author(s): Professor Ann Le Couteur

Downloads

• Published version [.pdf]

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young pre-schoolers (Kim and Lord), J Autism Dev Disord 42(1): 82-93, 2012) in a non-US sample from ten sites in nine countries (n = 1,104). The construct validity was lower, with satisfactorily high specificities but moderate sensitivities. Young children with clinical ASD and lower language ability were largely in the mild-to-moderate or moderate-to-severe concern

Publication metadata

Author(s): DeBilt A, System A, Zander E, Bolte S, Sturm H, Yirmiya N, Yaari M, Charman T, Salomoe E, LeCouteur A, Green J, Bedia RC, Primo PG, vanDaalen E, deJonge MV, Gudmundsdottir E, Johannsdottir S, Raleva M, Boskovska M, Roge B, Baduel S, Moilanen I, Yliherva A, Buitelaar J, Oosterling IJ

Publication type: Article

Publication status: Published

Journal: Journal of Autism and Developmental Disorders

Year: 2015

Volume: 45

Issue: 7

Pages: 2076-2091

Print publication date: 15/02/2015

Online publication date: 15/02/2015

Acceptance date: 14/01/2015

Date deposited: 15/12/2015

ISSN (print): 0162-3257

ISSN (electronic): 1573-3432

Publisher: Springerlink

URL: http://dx.doi.org/10.1007/s10803-015-2372-2

DOI: 10.1007/s10803-015-2372-2

PubMed id: 25682078

Altmetrics

Share