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Data can be produced through a variety of means – from experiments and interviews to corpus construction – and take a wide range of forms, including numerical, text, sound, and image. The chapter opens with a review of the different roles data have in research – as reality, as construction, as disruption – and proposes to conceptualize data as a process, whereby records of a phenomenon (raw data) are elicited and transformed (transformed data). Second, the chapter proposes a classification of existing data collection methods and data types. Third, it discusses how technology has profoundly impacted data production, both making large datasets available and facilitating the collection of particularly rich data (e.g., big qualitative data). This allows us to understand both the opportunities and the challenges that new forms of data have for mixed-methods research.

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Chapter 5 - Eliciting and Transforming Data

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Chapter 5 - Eliciting and Transforming Data

Summary