Value-adding Analysis: Doing More With Qualitative Data

Much qualitative research produces little new knowledge. We argue that this is largely due to deficits of analysis. Researchers too seldom venture beyond cataloguing data into pre-existing concepts and scouting for themes, and fail to exploit the distinctive powers of insight of qualitative methodology. The paper introduces a value-adding approach to qualitative analysis that aims to extend and enrich researchers' analytic interpretive practices and enhance the worth of the knowledge generated. We outline key features of this form of analysis, including how it is constituted by principles of interpretation, contextualization, criticality, and the creative presence of the researcher. Using concrete examples from our own research, we describe some analytic devices that can free up and stretch a researcher's analytic capacities, including putting reflexivity to work, treating everything as data, reading data for what is invisible, anomalous and gestalt, engaging in generative coding, deploying heuristics for theorizing, and recognizing writing as a key analytic activity. We argue that at its core, value-adding analysis is a scientific craft rather than a scientific formula, a creative assemblage of reality rather than a procedural determination of it. The researcher is the primary generative and synthesizing mechanism for transforming empirically observed data into the key products of qualitative research-concepts, accounts and explanations. The ultimate value of value-adding analysis resides in its ability to generate new knowledge, including not just the discovery of things heretofore unknown but also the re-conceptualization of what is already known, and, importantly, the reframing and reconstitution of the research problem.