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...
Lester, Jessica Nina; Muskett, Tom; O’Reilly, Michelle
2017-11-17 00:00:00
[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.pnghttp://www.deepdyve.com/lp/springer-journals/a-practical-guide-to-social-interaction-research-in-autism-spectrum-UqKDJloaRd
A Practical Guide to Social Interaction Research in Autism Spectrum DisordersNaturally Occurring Data Versus Researcher-Generated Data
[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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