Transcribing appears to be a straightforward technical task, but in fact involves judgements about what level of detail to choose (e.g. recordings of interviews, focus groups or talk in consultation), and these are usually transcribed into written form for closer study. Many qualitative studies collect audio or video data (e.g. Qualitative research in primary care deepens understanding of phenomena such as health, illness and health care encounters. (PsycINFO Database Record (c) 2012 APA, all rights reserved) Illuminating both the theory and the practice of qualitative analysis, this book will be a resource for all students involved in qualitative research. Key themes discussed include: the centrality of the relationship between analytic perspectives and methodological issues the need to broaden our conception of qualitative research beyond issues of subjective "meaning" and towards issues of language, representation and social organization the desire to search for ways of building links between social science traditions and a commitment to a dialogue between social science and the community. The contributors reflect on the analysis of each of the kinds of data discussed in this book's observations, texts, talk and interviews-using particular examples of data-analysis to advance analytical arguments. This book assembles a team of internationally-renowned researchers who share a commitment to rigorous, analytically-derived but non-polarized, qualitative research. The significance of transcribing within the analytical process and the methodological insights of using Express Scribe eventually emerge as a developing concept from this work. The guidelines suggested in this chapter are concentrated on the pragmatic hands-on experience of a researcher with examples from a real life large-scale qualitative study based on in-depth interviews. A real transcript is presented in the chapter, and the steps involved with developing and formatting it are offered in detail. The pros and cons of using a transcriptionist are also discussed. As a method chapter based on experiences from a case, it takes on a practical approach by demonstrating the benefits of data analysis software packages with examples and screenshots on how to specifically use the software package Express Scribe. The chapter also addresses key concerns, like the time it takes to transcribe, transcription tools, and digital versus analogue recordings. It is useful in its exploration of the challenges involved with transcribing, while it offers detailed solutions and advice for the novice researcher. It also provides practical advice on transcribing methods, conventions, and options. This chapter introduces a guide to transcribing qualitative research interviews assisted by digital transcription software.
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