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A Practical Guide to Social Interaction Research in Autism Spectrum DisordersNaturally Occurring Data Versus Researcher-Generated Data

A Practical Guide to Social Interaction Research in Autism Spectrum Disorders: Naturally... [In this chapter, Lester et al. provide important information about the distinction between researcher-generated and naturally occurring data. Many discursive approaches, including conversation analysis and discursive psychology, prefer to use naturally occurring data, and the rationale for this is outlined in the chapter. However, it is recognised that collecting naturally occurring data is often challenging to collect and include in a research design. Thus, the authors provide useful information about these challenges and pose some potential solutions. This chapter also includes guest contributions from active researchers, including PhD students, practitioners, and academics, all of whom utilise naturally occurring data in their work.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Practical Guide to Social Interaction Research in Autism Spectrum DisordersNaturally Occurring Data Versus Researcher-Generated Data

Part of the The Language of Mental Health Book Series
Editors: O'Reilly, Michelle; Lester, Jessica Nina; Muskett, Tom

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References (26)

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
87 –116
DOI
10.1057/978-1-137-59236-1_4
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, Lester et al. provide important information about the distinction between researcher-generated and naturally occurring data. Many discursive approaches, including conversation analysis and discursive psychology, prefer to use naturally occurring data, and the rationale for this is outlined in the chapter. However, it is recognised that collecting naturally occurring data is often challenging to collect and include in a research design. Thus, the authors provide useful information about these challenges and pose some potential solutions. This chapter also includes guest contributions from active researchers, including PhD students, practitioners, and academics, all of whom utilise naturally occurring data in their work.]

Published: Nov 17, 2017

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