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Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures

  • 05-08-2022
  • Original Paper
Gepubliceerd in:

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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