1. Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures.
- Author
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Thomas RP, Wittke K, Blume J, Mastergeorge AM, and Naigles L
- Subjects
- Male, Humans, Child, Longitudinal Studies, Language, Autism Spectrum Disorder diagnosis
- Abstract
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., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2023
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