Litcius/Paper detail

Integration Through Connecting in Explanatory Sequential Mixed Method Studies

Claire Burke Draucker, Susan M. Rawl, Emilee Vode, Lisa Carter‐Harris

2020Western Journal of Nursing Research81 citationsDOIOpen Access PDF

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 ( n = 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.

Topics & Concepts

Sample (material)Computer scienceExploitNarrativeMultimethodologyConceptual modelSampling (signal processing)Data scienceManagement sciencePsychologyEconometricsMathematicsMathematics educationEngineeringComputer visionChromatographyLinguisticsDatabasePhilosophyChemistryComputer securityFilter (signal processing)Global Cancer Incidence and ScreeningHealth Policy Implementation Science
Integration Through Connecting in Explanatory Sequential Mixed Method Studies | Litcius