Titlebook: Big Qual; A Guide to Breadth-a Susie Weller,Emma Davidson,Lynn Jamieson Textbook 2023 The Editor(s) (if applicable) and The Author(s), unde

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‘Deep Excavations’: In-Depth Interpretive Analysisn guiding the reader through the process of selecting one or more approaches and encouraging them to consider their epistemological stance, conceptual approach, and substantive concerns, along with the practicalities of the form/s of data.

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https://doi.org/10.1007/978-3-319-25832-4 digitisation of qualitative data, and the growing impetus for sharing and reusing qualitative data including large-scale analysis. We map the methods and approaches seeking to integrate big data and qualitative forms of enquiry and consider future challenges for the big qual field and the breadth-and-depth method.

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Big Qual and the Future of Qualitative Analysiss. We consider the opportunities, challenges, and limitations this way of working can bring. We conclude by outlining the implications of the method, both for qualitative and for quantitative enquiry and big data debates.

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Germano Resconi,Xiaolin Xu,Guanglin Xun a clear sense of whether the material is of relevance. By covering issues such as sample size and sampling logic, providing illustrative examples detailing the process, and making links to other resources, the chapter equips readers with an understanding of the process of moving from breadth to depth (and back again).

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‘Test Pit Sampling’: Preliminary Analysisn a clear sense of whether the material is of relevance. By covering issues such as sample size and sampling logic, providing illustrative examples detailing the process, and making links to other resources, the chapter equips readers with an understanding of the process of moving from breadth to depth (and back again).