Login / Signup

Integration Through Connecting in Explanatory Sequential Mixed Method Studies.

Claire Burke DrauckerSusan M RawlEmilee VodeLisa Carter-Harris
Published in: Western journal of nursing research (2020)
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.
Keyphrases
  • electronic health record
  • big data
  • high resolution
  • systematic review
  • clinical trial
  • study protocol
  • machine learning
  • optical coherence tomography
  • mass spectrometry
  • data analysis