Muskett2017

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Muskett2017
BibType ARTICLE
Key Muskett2017
Author(s) Tom Muskett
Title Using Conversation Analysis to Assess the Language and Communication of People on the Autism Spectrum: A Case-Based Tutorial
Editor(s) Michelle O'Reilly, Jessica Nina Lester, Tom Muskett
Tag(s) EMCA, ASD
Publisher
Year 2017
Language English
City
Month
Journal
Volume
Number
Pages 117-140
URL Link
DOI https://doi.org/10.1057/978-1-137-59236-1_5
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title A Practical Guide to Social Interaction Research in Autism Spectrum Disorders
Chapter

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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?

Notes