![]() ![]() MM research is “research that intentionally combines the perspectives, approaches, data forms, and analyses associated with quantitative and qualitative research to develop nuanced and comprehensive findings” ( Plano Clark, 2019, p. Mixed methods (MM) research is widely used to answer complex questions in health and social sciences. The subgroups facilitated the development of tailored interview guides, in-depth narrative summaries, and exemplar case studies to expand the quantitative findings. Because researchers often do not fully exploit numeric data for this purpose, we developed a multi-step systematic sampling strategy that produced an interview sample of eight subgroups of five persons ( n = 40) whose profiles converged with or diverged from the conceptual model in specified ways. Connecting occurs when numeric data from a quantitative strand of a study are used to select a sample to be interviewed for a subsequent qualitative strand. The purposes of this methods article are to (a) discuss how integration can occur through a connecting approach in explanatory sequential mixed methods studies, (b) describe a connecting strategy developed for a study testing a conceptual model to predict lung cancer screening, and (c) describe three analytic products developed by subsequent integration procedures enabled by the connecting strategy. ![]()
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