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  • Clinician Proposed Predictors of Spoken Language Outcomes for Minimally Verbal Children with Autism Spectrum Disorder

    Author(s)
    Trembath, David
    Sutherland, Rebecca
    Caithness, Teena
    Dissanayake, Cheryl
    Eapen, Valsamma
    Fordyce, Kathryn
    Frost, Grace
    Iacono, Teresa
    Mahler, Nicole
    Masi, Anne
    Paynter, Jessica
    Pye, Katherine
    Reilly, Sheena
    Rose, Veronica
    Sievers, Stephanie
    Thirumanickam, Abirami
    Westerveld, Marleen
    Tucker, Madonna
    Griffith University Author(s)
    Trembath, David
    Paynter, Jessica M.
    Reilly, Sheena
    Westerveld, Marleen F.
    Year published
    2020
    Metadata
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    Abstract
    Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights ...
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    Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and experiences. Using the Framework Method of analysis, we identified 9 themes accounting for 183 different participant references to potential factors. Participants highlighted the relevance of clusters of fine-grained social, communication, and learning behaviours, including novel insights into prelinguistic vocal behaviours. The participants suggested the potential value of dynamic assessment in predicting spoken language outcomes. The findings can inform efforts to developing clinically relevant methods for predicting children’s communication outcomes.
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    Journal Title
    Journal of Autism and Developmental Disorders
    DOI
    https://doi.org/10.1007/s10803-020-04550-z
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Neurosciences
    Education
    Specialist studies in education
    Psychology
    Health sciences
    Publication URI
    http://hdl.handle.net/10072/395026
    Collection
    • Journal articles

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