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A process for conducting mixed methods data analysis.

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This summary is machine-generated.

This review provides guidance for mixed methods data analysis, building on Michael D. Fetters' work. It details a practical process approach for integrating diverse data and drawing metainferences in research.

Keywords:
data analysisjoint displaymetainferencesmixed methods designmixed methods research

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Area of Science:

  • Social Sciences
  • Health Sciences
  • Mixed Methods Research

Background:

  • Mixed methods data analysis remains understudied, lacking clear procedural guidance for researchers.
  • This review honors Michael D. Fetters' foundational contributions to mixed methods data analysis, including integration, joint displays, and metainferences.

Purpose of the Study:

  • To summarize existing literature on mixed methods data analysis.
  • To propose advanced, practical steps for the mixed methods data analysis process.
  • To illustrate these advanced methods using an empirical family medicine study from Japan.

Main Methods:

  • Identifying a research problem and collecting diverse data types.
  • Selecting an appropriate mixed methods research design.
  • Integrating data within the chosen design, utilizing joint displays for analysis, and drawing metainferences.

Main Results:

  • A comprehensive process approach for mixed methods data analysis is detailed.
  • The approach combines established concepts with recent advancements in the field.
  • An empirical example from Japanese family medicine illustrates the proposed methodology.

Conclusions:

  • The article offers a practical, step-by-step process for conducting mixed methods data analysis.
  • This work advances the field by providing a structured framework for integrating and analyzing diverse data.
  • The proposed approach enhances the rigor and clarity of mixed methods research findings.