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

The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young preschoolers (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 indicated a good fit of...

Full description

Bibliographic Details
Main Authors: de Bildt, A., Sytema, S., Zander, E., Bölte, Sven, Sturm, H., Yirmiya, N., Yaari, M., Charman, T., Salomone, E., LeCouteur, A., Green, J., Bedia, R., Primo, P., van Daalen, E., de Jonge, M., Guðmundsdóttir, E., Jóhannsdóttir, S., Raleva, M., Boskovska, M., Rogé, B., Baduel, S., Moilanen, I., Yliherva, A., Buitelaar, J., Oosterling, I.
Format: Journal Article
Published: Springer New York LLC 2015
Online Access:http://hdl.handle.net/20.500.11937/59221
_version_ 1848760419283369984
author de Bildt, A.
Sytema, S.
Zander, E.
Bölte, Sven
Sturm, H.
Yirmiya, N.
Yaari, M.
Charman, T.
Salomone, E.
LeCouteur, A.
Green, J.
Bedia, R.
Primo, P.
van Daalen, E.
de Jonge, M.
Guðmundsdóttir, E.
Jóhannsdóttir, S.
Raleva, M.
Boskovska, M.
Rogé, B.
Baduel, S.
Moilanen, I.
Yliherva, A.
Buitelaar, J.
Oosterling, I.
author_facet de Bildt, A.
Sytema, S.
Zander, E.
Bölte, Sven
Sturm, H.
Yirmiya, N.
Yaari, M.
Charman, T.
Salomone, E.
LeCouteur, A.
Green, J.
Bedia, R.
Primo, P.
van Daalen, E.
de Jonge, M.
Guðmundsdóttir, E.
Jóhannsdóttir, S.
Raleva, M.
Boskovska, M.
Rogé, B.
Baduel, S.
Moilanen, I.
Yliherva, A.
Buitelaar, J.
Oosterling, I.
author_sort de Bildt, A.
building Curtin Institutional Repository
collection Online Access
description The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young preschoolers (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 indicated a good fit of the algorithms. The diagnostic 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 ranges of the ADI-R, nearly half of the older and phrase speech ASD-group fell into the little-to-no concern range. Although broadly the findings support the toddler algorithms, further work is required to understand why they might have different properties in different samples to further inform research and clinical use.
first_indexed 2025-11-14T10:15:29Z
format Journal Article
id curtin-20.500.11937-59221
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:15:29Z
publishDate 2015
publisher Springer New York LLC
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-592212018-03-08T08:36:51Z Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children de Bildt, A. Sytema, S. Zander, E. Bölte, Sven Sturm, H. Yirmiya, N. Yaari, M. Charman, T. Salomone, E. LeCouteur, A. Green, J. Bedia, R. Primo, P. van Daalen, E. de Jonge, M. Guðmundsdóttir, E. Jóhannsdóttir, S. Raleva, M. Boskovska, M. Rogé, B. Baduel, S. Moilanen, I. Yliherva, A. Buitelaar, J. Oosterling, I. The current study aimed to investigate the Autism Diagnostic Interview-Revised (ADI-R) algorithms for toddlers and young preschoolers (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 indicated a good fit of the algorithms. The diagnostic 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 ranges of the ADI-R, nearly half of the older and phrase speech ASD-group fell into the little-to-no concern range. Although broadly the findings support the toddler algorithms, further work is required to understand why they might have different properties in different samples to further inform research and clinical use. 2015 Journal Article http://hdl.handle.net/20.500.11937/59221 10.1007/s10803-015-2372-2 Springer New York LLC unknown
spellingShingle de Bildt, A.
Sytema, S.
Zander, E.
Bölte, Sven
Sturm, H.
Yirmiya, N.
Yaari, M.
Charman, T.
Salomone, E.
LeCouteur, A.
Green, J.
Bedia, R.
Primo, P.
van Daalen, E.
de Jonge, M.
Guðmundsdóttir, E.
Jóhannsdóttir, S.
Raleva, M.
Boskovska, M.
Rogé, B.
Baduel, S.
Moilanen, I.
Yliherva, A.
Buitelaar, J.
Oosterling, I.
Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title_full Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title_fullStr Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title_full_unstemmed Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title_short Autism Diagnostic Interview-Revised (ADI-R) Algorithms for Toddlers and Young Preschoolers: Application in a Non-US Sample of 1,104 Children
title_sort autism diagnostic interview-revised (adi-r) algorithms for toddlers and young preschoolers: application in a non-us sample of 1,104 children
url http://hdl.handle.net/20.500.11937/59221