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Mark Carter

Researcher at Macquarie University

Publications -  155
Citations -  4854

Mark Carter is an academic researcher from Macquarie University. The author has contributed to research in topics: Autism & Autism spectrum disorder. The author has an hindex of 32, co-authored 148 publications receiving 4423 citations.

Papers
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Visible learning: a synthesis of over 800 meta‐analyses relating to achievement

TL;DR: Visible learning as discussed by the authors is a review of over 800 metaclass metamodel metamatches from the Visible Learning project. But the review is limited to two metaclasses.
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Social Stories for Children with Disabilities

TL;DR: A review of the empirical research literature on Social Stories™ is presented, including a descriptive review and single-subject meta-analysis of appropriate studies, which suggests the effects of Social stories are highly variable.
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A Review of the Efficacy of the Picture Exchange Communication System Intervention

TL;DR: Available research provides preliminary evidence that PECS is readily learned by most participants and provides a means of communication for individuals with little or no functional speech, while effects on speech development remain unclear.
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The nature of friendship in children with autism spectrum disorders: A systematic review

TL;DR: In this article, a systematic review of 24 studies that addressed the characteristics of friendship in school-age children with a diagnosis of autism spectrum disorder (ASD) was provided, which indicated important differences in the manifestation of friendships in individuals with ASD as compared to typical children.
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Identification of intentional communication in students with severe and multiple disabilities

TL;DR: This paper used published criteria to determine the intentionality of communicative behaviors of individuals with severe and multiple disabilities in light of research with individuals with and without intellectual disability and found that persistence, idiosyncratic behaviors, and modifications to signals, in addition to patterns of differential modality use, are potential indicators.