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Autor/inn/enThomas, Rebecca P.; Wittke, Kacie; Blume, Jessica; Mastergeorge, Ann M.; Naigles, Letitia
TitelPredicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures
QuelleIn: Journal of Autism and Developmental Disorders, 53 (2023) 10, S.3916-3931 (16 Seiten)
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ZusatzinformationORCID (Thomas, Rebecca P.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0162-3257
DOI10.1007/s10803-022-05691-z
SchlagwörterAutism Spectrum Disorders; Prediction; Language Usage; Severity (of Disability); Intervention; Play; Measures (Individuals); Children
AbstractThis 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. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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