ArticlemedRxiv : the preprint server for health sciences2024
Sentence production and sentence repetition in autistic adolescents and young adults: Linguistic sensitivity to finiteness-marking.
Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors at 3 institutions in 1 country.
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Abstract
Purpose: Despite the clinical utility of sentence production and sentence repetition to identify language impairment in autism, little is known about the extent to which these tasks are sensitive to potential dialectal variation. One promising method is strategic scoring (Oetting et al., 2016), which has good clinical utility for identifying language impairment in nonautistic school-age children across dialects of English. This report applies strategic scoring to analyze sentence repetition and sentence production in autistic adolescents and adults. Method: Thirty-one diverse autistic adolescents and adults with language impairment (ALI; Results: Strategic and unmodified item-level scores were essentially constant on both subtests and significantly lower in the ALI than the ASD group. Only group predicted item-level scores. Group differences were limited to: percent grammatical utterances on Formulated Sentences and percent production of overt structures combined on Sentence Repetition (ALI < ASD). Discussion: Findings support the feasibility of strategic scoring for sentence production and sentence repetition to identify language impairment and indicate that potential dialectal variation in finiteness-marking did not confound outcomes in this sample. To better understand the clinical utility of strategic scoring, replication with a larger sample varying in age and comparisons with dialect-sensitive measures are needed.
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