{'fraction_non_alphanumeric': 0.017640573318632856, 'fraction_numerical': 0.0, 'mean_word_length': 5.485714285714286, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Dynamic Research Design: Iteration in Field-Based Inquiry


 This article examines how “iteration”—the dynamic updating of a research design in the course of conducting a study—contributes to making fieldwork a powerful form of inquiry. Considering epistemic disagreement on the utility and acceptability of iteration and drawing on published work, our own experiences, and an original survey and interviews, we contend that iteration is a core aspect of field-based inquiry because such work often examines areas for which theory or empirical knowledge is underdeveloped and requires reacting as the research environment evolves. We demonstrate why iteration is challenging, consider the analytic risks it poses, and offer a framework to help scholars iterate in analytically productive ways. We conclude by outlining the implications for the discipline of embracing and being transparent about iteration.
