AI Article Synopsis
- The article focuses on integrating quantitative and qualitative methods in mixed methods studies, explaining how a connecting approach can enhance this integration.
- It describes a specific strategy used in a study aimed at predicting lung cancer screening, which involved a systematic sampling method to select participants for interviews.
- The resulting data from these interviews produced three analytic outputs: tailored interview guides, detailed narrative summaries, and case studies that build on the initial quantitative findings.
Article Abstract
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. 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. 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 ( = 40) whose profiles converged with or diverged from the conceptual model in specified ways. The subgroups facilitated the development of tailored interview guides, in-depth narrative summaries, and exemplar case studies to expand the quantitative findings.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355866 | PMC |
| http://dx.doi.org/10.1177/0193945920914647 | DOI Listing |
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