Difference between revisions of "Rendle-Short2019"

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(Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Joanna Rendle-Short; |Title=Analysing atypical interaction: Reflections on the intersection between quantitative and qualitative researc...")
 
 
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|Journal=Journal of Pragmatics
 
|Journal=Journal of Pragmatics
 
|Volume=143
 
|Volume=143
|Pages=267-278
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|Pages=267–278
|URL=https://doi.org/10.1016/j.pragma.2018.04.009
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|URL=https://www.sciencedirect.com/science/article/abs/pii/S0378216617307567
 
|DOI=10.1016/j.pragma.2018.04.009
 
|DOI=10.1016/j.pragma.2018.04.009
 
|Abstract=Overwhelmingly, autism research is carried out within a medical deficit model, with emphasis on quantifiable results that can be applied to cohorts of affected people. This paper addresses some of the methodological issues surrounding quantification research. Using the coding and categorisation instructions from an earlier quantification study as an example (Jones & Schwartz, 2009), it shows some of the practical difficulties inherent in coding naturally occurring data. It explores these coding and categorisation choices when analysing data collected from children diagnosed with Asperger's syndrome through the qualitative research methodology of conversation analysis. It discusses why it is important for qualitative researchers to respond to, and intersect with, quantitative analyses of atypical interaction.
 
|Abstract=Overwhelmingly, autism research is carried out within a medical deficit model, with emphasis on quantifiable results that can be applied to cohorts of affected people. This paper addresses some of the methodological issues surrounding quantification research. Using the coding and categorisation instructions from an earlier quantification study as an example (Jones & Schwartz, 2009), it shows some of the practical difficulties inherent in coding naturally occurring data. It explores these coding and categorisation choices when analysing data collected from children diagnosed with Asperger's syndrome through the qualitative research methodology of conversation analysis. It discusses why it is important for qualitative researchers to respond to, and intersect with, quantitative analyses of atypical interaction.
 
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Latest revision as of 02:51, 16 January 2020

Rendle-Short2019
BibType ARTICLE
Key Rendle-Short2019
Author(s) Joanna Rendle-Short
Title Analysing atypical interaction: Reflections on the intersection between quantitative and qualitative research
Editor(s)
Tag(s) EMCA, Qualitative, Quantitative, Conversation analysis, Autism spectrum disorders, Asperger's syndrome, Atypical interaction, Turn initiation
Publisher
Year 2019
Language English
City
Month
Journal Journal of Pragmatics
Volume 143
Number
Pages 267–278
URL Link
DOI 10.1016/j.pragma.2018.04.009
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

Overwhelmingly, autism research is carried out within a medical deficit model, with emphasis on quantifiable results that can be applied to cohorts of affected people. This paper addresses some of the methodological issues surrounding quantification research. Using the coding and categorisation instructions from an earlier quantification study as an example (Jones & Schwartz, 2009), it shows some of the practical difficulties inherent in coding naturally occurring data. It explores these coding and categorisation choices when analysing data collected from children diagnosed with Asperger's syndrome through the qualitative research methodology of conversation analysis. It discusses why it is important for qualitative researchers to respond to, and intersect with, quantitative analyses of atypical interaction.

Notes