How to design a hybrid method research (that is, combining quantitative and qualitative methods)?

Designing hybrid method research involves intentionally integrating quantitative and qualitative components to address complex research questions more comprehensively than a single approach. This methodological combination is feasible and increasingly prevalent across disciplines when a single paradigm cannot adequately explore the phenomena under investigation. Successful design requires clear articulation of the overarching research purpose and the rationale for integration, ensuring each component complements the other. Key principles include selecting a specific integration strategy (sequential, concurrent, or embedded), determining the priority of each method (equal or unequal weight), and defining explicit points where data or findings converge during analysis. The methodology must justify the chosen mix and sequence, align sampling techniques (e.g., nested samples in sequential designs), and detail rigorous procedures for integrating data interpretation—such as triangulation, complementarity, or development—while addressing potential paradigm tensions. Implementation begins with a problem-driven choice of hybrid design model. Define specific quantitative (e.g., surveys) and qualitative (e.g., interviews) methods aligned with distinct research sub-questions. Plan the timing (simultaneous or sequential) and integration points, such as using qualitative results to develop survey instruments. Execute data collection and analysis procedures specific to each method, followed by distinct and joint interpretation, ultimately synthesizing findings to build a cohesive understanding. Careful design provides greater depth and breadth of insight, enhances validity through triangulation, and addresses research questions holistically for richer theoretical or practical contributions.