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. 2023 Oct;53(10):3916-3931.
doi: 10.1007/s10803-022-05691-z. Epub 2022 Aug 5.

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

Rebecca P Thomas  1 , Kacie Wittke  2 , Jessica Blume  3 , Ann M Mastergeorge  3 , Letitia Naigles  4   2
Affiliations

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

Rebecca P Thomas et al. J Autism Dev Disord. 2023 Oct.

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.

Keywords: Assessment; Autism spectrum disorder; Interventions; Language.

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