2024
DOI: 10.1002/aur.3142
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Real‐time coded measures in natural language samples capture change over time in minimally verbal autistic children

Chelsea La Valle,
Lue Shen,
Wendy Shih
et al.

Abstract: Prior research supports the use of natural language sampling (NLS) to assess the rate of speech utterances (URate) and the rate of conversational turns (CTRate) in minimally verbal (MV) autistic children. Bypassing time‐consuming transcription, previous work demonstrated the ability to derive URate and CTRate using real‐time coding methods and provided support for their strong psychometric properties. (1) Unexplored is how URate and CTRate using real‐time coding methods capture change over time and (2) whether… Show more

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