Spiral comparison: operationalizing iterative integration in mixed methods research

Mixed methods research combines the depth of qualitative inquiry with the breadth of quantitative measurement to gain a more comprehensive understanding of complex phenomena. Spiral approaches have been applied within mixed method research as forms of iterative integration and synthesis. Despite its potential, the operationalization of spiral approaches remains conceptual and nebulous, limiting its broader application. This descriptive methodological paper presents spiral comparison as a replicable method for study design and synthesis, contextualized within a convergent mixed methods-grounded theory study exploring motivation for physical activity among adults receiving care from a Federally Qualified Health Center.Prior application of spiraling in mixed methods designs is presented, including the within sequential explanatory designs and the double helix model. Diverging from these models, our approach emphasizes cyclical integration over structural pairing, culminating in a narrowing of insights toward theoretical clarity. Spiral comparison builds upon constant comparison by integrating both qualitative and quantitative findings cyclically throughout data collection and analysis, rather than after independent analysis is complete.Within the example study, quantitative and qualitative data were collected concurrently, and analysis began during data collection. Spiral comparison pauses were implemented to assess preliminary findings and emergent patterns. Pauses informed pivots to data collection, theoretical understanding, and guided theoretical sampling. The spiral comparison approach enabled the identification of key incongruences and prompted updates to sampling and refinement of analytic focus. These methodological developments contributed directly to the derivation of a grounded theory model describing motivation for physical activity in an underserved population.Joint displays were created and updated in real time to visually present and synthesize findings. Transparency was enhanced by joint displays which also facilitated metainference generation and theory development. The spiral comparison method demonstrated its value in navigating complexity, uncovering deeper meaning, and supporting methodological rigor.We conclude by advocating for the broader application of spiral comparison in health sciences and other mixed methods research contexts. By demystifying the spiral approach and offering clear procedural guidance, this study supports its adoption in future research aiming for holistic and patient-centered insights.