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A Practical Guide to Social Interaction Research in Autism Spectrum DisordersUsing Conversation Analysis to Assess the Language and Communication of People on the Autism Spectrum: A Case-Based Tutorial

A Practical Guide to Social Interaction Research in Autism Spectrum Disorders: Using Conversation... [A powerful application of conversation analysis (CA) is to re-examine features of verbal communication diagnostically associated with autism spectrum disorder (ASD) (e.g., apparent problems with conversation, echolalia, idiosyncratic language). In this data-driven tutorial chapter, Muskett draws on his experiences as an academic psychologist and clinical speech and language therapist to lead the reader through the following questions. First, how do we undertake CA with ASD data, and with what methodological assumptions? Second, what are the broad theoretical implications of the kinds of findings that are generated when CA is used in this way? And finally, how might these findings be applied to underpin real-world practice across a range of clinical, educational, and social care contexts?] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Social Interaction Research in Autism Spectrum DisordersUsing Conversation Analysis to Assess the Language and Communication of People on the Autism Spectrum: A Case-Based Tutorial

Part of the The Language of Mental Health Book Series
Editors: O'Reilly, Michelle; Lester, Jessica Nina; Muskett, Tom
Muskett, Tom
Springer Journals — Nov 17, 2017
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23 pages

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Publisher
Palgrave Macmillan UK
Copyright
© The Editor(s) (if applicable) and The Author(s) 2017. The author(s) has/have asserted their right(s) to be identified as the author(s) of this work in accordance with the Copyright, Designs and Patents Act 1988.
ISBN
978-1-137-59235-4
Pages
117 –140
DOI
10.1057/978-1-137-59236-1_5
Publisher site
See Chapter on Publisher Site

Abstract

[A powerful application of conversation analysis (CA) is to re-examine features of verbal communication diagnostically associated with autism spectrum disorder (ASD) (e.g., apparent problems with conversation, echolalia, idiosyncratic language). In this data-driven tutorial chapter, Muskett draws on his experiences as an academic psychologist and clinical speech and language therapist to lead the reader through the following questions. First, how do we undertake CA with ASD data, and with what methodological assumptions? Second, what are the broad theoretical implications of the kinds of findings that are generated when CA is used in this way? And finally, how might these findings be applied to underpin real-world practice across a range of clinical, educational, and social care contexts?]

Published: Nov 17, 2017

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