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This article stems from a desire to counter monologic, or single-voiced, approaches to data analysis and to consider opportunities for a dialogic approach that offers opportunities to engage and discover nuance and complexity in the research process. Drawing on our own research experiences, we offer a discussion of three methods of dialogic analysis: Reconstructive Horizon Analysis (RHA), participatory analysis, and Interpersonal Process Recall (IPR). Locating each of these within a kind of spectrum of dialogism, we illustrate how different forms of dialogic analysis can create space for complexity, nuance, perspective-taking, and in the best case, collaborative, intersubjective meaning making. We suggest that dialogic analysis offers opportunities to challenge or counter our own reading of a given research context, and that this opportunity can occur to different degrees.
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Ross et al. (2026) studied this question.
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