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This chapter introduces multi-resolution research, namely, a way of analyzing qualitative data both qualitatively and quantitatively. Qualitative analysis zooms in to provide in-depth contextual insight and quantitative analysis zooms out to provide measures, associations, and statistical models. The underlying qualitative data are transformed between three types (excerpts, counts, measures), with each having unique gains and losses. Transforming the data back and forth between these data types – recursively quantitizing and qualitizing the data – can spur abductive insight and increase the legitimacy of social research.
Taking a pragmatist approach to methods and methodology that fosters meaningful, impactful, and ethical research, this book rises to the challenge of today's data revolution. It shows how pragmatism can turn challenges, such as the abundance and accumulation of big qualitative data, into opportunities. The authors summarize the pragmatist approach to different aspects of research, from epistemology, theory, and questions to ethics, as well as data collection and analysis. The chapters outline and document a new type of mixed methods design called 'multi-resolution research,” which serves to overcome old divides between quantitative and qualitative methods. It is the ideal resource for students and researchers within the social and behavioural sciences seeking new ways to analyze large sets of qualitative data. This book is also available as Open Access on Cambridge Core.
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