Mixed methods research involves integrating qualitative and quantitative research methods within a single study or research program. This approach allows researchers to gain a more comprehensive understanding of a research problem by leveraging the strengths of both qualitative and quantitative methods. Here are some best practices and prevalent practical and theoretical frameworks for conducting mixed methods research:

Best Practices:

  1. Clearly Define Research Questions:
    • Start by clearly defining your research questions or objectives. Determine what you want to achieve through the mixed methods approach and how qualitative and quantitative data will contribute to addressing your research questions.
  2. Select Appropriate Methods:
    • Choose qualitative and quantitative methods that are well-suited to your research questions and objectives. Ensure that the methods complement each other and provide different perspectives on the research problem.
  3. Sequential or Concurrent Design:
    • Decide whether you will use a sequential or concurrent mixed methods design. In sequential designs, one method is used to inform the other, while in concurrent designs, both methods are used simultaneously.
  4. Integration of Data:
    • Plan how qualitative and quantitative data will be integrated during data collection, analysis, and interpretation. Identify points of convergence and divergence between the two types of data and how they will be synthesized to provide a holistic understanding.
  5. Maintain Methodological Rigor:
    • Apply rigorous methods for data collection, analysis, and interpretation in both qualitative and quantitative components of the study. Ensure reliability, validity, and credibility of findings through appropriate techniques and procedures.
  6. Triangulation:
    • Use triangulation to validate findings by comparing results from qualitative and quantitative analyses. Triangulation involves corroborating evidence from multiple sources or methods to enhance the trustworthiness of findings.
  7. Mixed Methods Frameworks:
    • Apply established mixed methods frameworks or models to guide your research design and analysis. Frameworks like Creswell and Plano Clark’s typology of mixed methods designs or the convergent parallel design provide structured approaches to mixed methods research.
  8. Ethical Considerations:
    • Consider ethical implications of using mixed methods, especially regarding informed consent, confidentiality, and data protection. Ensure that ethical guidelines are followed throughout the research process.

Prevalent Practical and Theoretical Frameworks:

  1. Creswell’s Typology of Mixed Methods Designs:
    • Creswell’s typology categorizes mixed methods designs into sequential, concurrent, or transformative designs, each with variations based on the timing of data collection and integration.
  2. Pragmatism:
    • Pragmatism serves as a theoretical foundation for mixed methods research, emphasizing the use of multiple methods to address research questions effectively. Pragmatism prioritizes the utility and practicality of research findings.
  3. Framework for Integration:
    • This framework guides the integration of qualitative and quantitative data at various stages of the research process, such as during data collection, analysis, and interpretation. It outlines strategies for synthesizing findings and resolving discrepancies between qualitative and quantitative results.
  4. Grounded Theory:
    • Grounded theory provides a systematic approach to qualitative data analysis, focusing on the development of theory from empirical data. Mixed methods studies often employ grounded theory to explore and explain complex phenomena.
  5. Theory of Change:
    • The theory of change framework is commonly used in program evaluation and social research to articulate how interventions lead to desired outcomes. Mixed methods research can use this framework to assess program effectiveness and understand causal mechanisms.
  6. Multimethod Matrix:
    • The multimethod matrix is a tool for organizing and analyzing data from multiple sources or methods. It facilitates comparison and synthesis of qualitative and quantitative findings by identifying patterns, themes, and relationships across data sources.

By following these best practices and utilizing prevalent practical and theoretical frameworks, researchers can effectively conduct mixed methods research that generates rich, nuanced insights into complex research problems.

Also, from another source:

Mixed methods research is a powerful approach that combines quantitative and qualitative data collection and analysis. It’s a great option when a single method wouldn’t provide a complete picture. Here’s when it excels and how to leverage it effectively:

Best Case Uses for Mixed Methods Research:

Best Practices and Frameworks:

Examples of Frameworks in Action:

By understanding the strengths of mixed methods research and employing best practices, you can leverage its power to gain deeper insights and make more informed decisions in your business or entrepreneurial endeavors.