Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures.
Assessment
Autism spectrum disorder
Interventions
Language
Journal
Journal of autism and developmental disorders
ISSN: 1573-3432
Titre abrégé: J Autism Dev Disord
Pays: United States
ID NLM: 7904301
Informations de publication
Date de publication:
Oct 2023
Oct 2023
Historique:
accepted:
16
07
2022
medline:
15
9
2023
pubmed:
6
8
2022
entrez:
5
8
2022
Statut:
ppublish
Résumé
This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41 males) completed standardized assessments of language and social functioning; natural language samples were transcribed from play-based interactions. Findings indicated that standardized language measures, natural language measures, and ADOS severity were each unique predictors of later lexical use. Intervention types also appeared to impact later language; in particular, participation in mainstream inclusion accounted for significant amounts of variance in children's mean length of utterance at T3.
Identifiants
pubmed: 35930209
doi: 10.1007/s10803-022-05691-z
pii: 10.1007/s10803-022-05691-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3916-3931Subventions
Organisme : NIH HHS
ID : R01 MH089626-1
Pays : United States
Organisme : NIH HHS
ID : R01 MH089626-1
Pays : United States
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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