A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses

Area of Science:

• Research Methodology
• Scientific Research Design

Background:

• Mixed methods research is increasingly recognized but faces challenges in scientific rigor.
• Existing designs often lack seamless integration between qualitative and quantitative data analysis.

Purpose of the Study:

• To present a novel integrative mixed methods methodology.
• To provide a conceptual framework, methodological procedures, and data analytic strategies.
• To illustrate the application through ongoing research examples.

Main Methods:

• Development of an integrative mixed methods methodology over a decade of pilot research.
• Integration of quantitative multivariate analyses and qualitative "deep structure" descriptions.
• Presentation of a conceptual framework and specific data analytic procedures.

Main Results:

• Evidence supporting the development of a robust integrative mixed methods approach.
• Demonstration of seamless transfer of evidence across qualitative and quantitative data.
• Illustrative examples showcasing the practical application of the methodology.

Conclusions:

• The proposed integrative mixed methods methodology enhances scientific rigor.
• This approach facilitates the synergistic combination of quantitative and qualitative findings.
• The framework offers a valuable resource for conducting high-caliber mixed methods research.