The role of iteration in qualitative data analysis, not as a repetitive mechanical task but as a reflexive process, is key to sparking insight and developing meaning. In this paper the authors presents a simple framework for qualitative data analysis comprising three iterative questions. The authors developed it to analyze qualitative data and to engage with the process of continuous meaning-making and progressive focusing inherent to analysis processes. They briefly present the framework and locate it within a more general discussion on analytic reflexivity. They then highlight its usefulness, particularly for newer researchers, by showing practical applications of the framework in two very different studies.

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This paper explores variation in the events

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The preparation of future professionals for practice is a key focus of higher education institutions. Among a range of approaches is the use of simulation pedagogies. While simulation is often justified as a direct bridge between higher education and professional practice, this paper questions this easy assumption. It develops a conceptually driven argument to cast new light on simulation and its unarticulated potential in professional formation. The argument unfolds in, and is illustrated via, three accounts of a simulation event in an Australian undergraduate nursing program. This begins with a familiar approach, moves to one that problematizes this through a focus on disruption, culminating in a third that draws on socio-material theorisations. Here, simulation is conceived as emergent, challenging stable notions of fidelity, common in simulation literature. New possibilities of simulation in the production of agile practitioners and learners in practice are surfaced. This paper extends and enriches thinking by providing distinctive new ways of understanding simulation and the relationship it affords between education and professional practice, and by illuminating the untapped potential of simulation for producing agile practitioners.