Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures
- 05-08-2022
- Original Paper
- Auteurs
- Rebecca P. Thomas
- Kacie Wittke
- Jessica Blume
- Ann M. Mastergeorge
- Letitia Naigles
- Gepubliceerd in
- Journal of Autism and Developmental Disorders | Uitgave 10/2023
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.
- Titel
- Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures
- Auteurs
-
Rebecca P. Thomas
Kacie Wittke
Jessica Blume
Ann M. Mastergeorge
Letitia Naigles
- Publicatiedatum
- 05-08-2022
- Uitgeverij
- Springer US
- Gepubliceerd in
-
Journal of Autism and Developmental Disorders / Uitgave 10/2023
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432 - DOI
- https://doi.org/10.1007/s10803-022-05691-z
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