Design-Based Pragmatic Mixed Methods
Design-Based Pragmatic Mixed Methods Research · Also known as: DBPMM, design-based mixed methods, pragmatic design-based research, educational design research with mixed methods
Design-based pragmatic mixed methods combines the iterative, intervention-focused logic of design-based research (DBR) with the philosophical pragmatism that underpins mixed methods inquiry. Researchers design, test, and refine an educational or organisational intervention across multiple cycles while simultaneously collecting quantitative outcome data and qualitative process data. The pragmatist worldview licenses the integration of both data strands in service of a practical research question: does this design work, for whom, and why?
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When to use it
Use design-based pragmatic mixed methods when you are simultaneously developing and evaluating an educational, organisational, or social intervention and need both outcome data (does it work?) and process data (how and why does it work?). It is well-suited to research problems where existing solutions are inadequate, where the setting is complex and naturalistic, and where the researcher has sustained access to the site across multiple cycles. Do NOT use it when the research question is purely explanatory or exploratory without an intervention component; when only a single data collection point is feasible; when the researcher cannot commit to iterative engagement with the site; or when the goal is population-level generalisation from a representative sample — in those cases a standard experimental or survey design is more appropriate.
Strengths & limitations
- Directly connects research to real-world improvement: findings feed back into the design within the same study.
- The mixed methods integration produces richer, more actionable insights than either quantitative or qualitative data alone.
- Iterative cycles allow the intervention to be refined based on evidence rather than hunches, increasing practical validity.
- The pragmatist worldview aligns naturally with applied fields such as education, health promotion, and organisational development.
- Produces both local effectiveness evidence and transferable design principles, serving both practice and theory.
- Resource-intensive: requires sustained researcher presence, multiple data collection rounds, and substantial time for mixed analysis and integration.
- Findings are highly context-dependent; transferability depends on how carefully design principles are abstracted and reported.
- The iterative structure makes it difficult to maintain a stable intervention for rigorous comparative evaluation; causality is harder to attribute than in a controlled experiment.
- Requires the researcher to have competence in both quantitative and qualitative methods, as well as intervention design expertise.
Frequently asked
How is this different from ordinary mixed methods research?
Standard mixed methods studies collect quantitative and qualitative data within a fixed design to answer a research question. Design-based pragmatic mixed methods adds an iterative intervention component: the researcher is building and improving something, and each data collection cycle feeds directly into redesigning that intervention. The pragmatic worldview is the same, but the purpose is explicitly developmental rather than purely descriptive or explanatory.
How many cycles are needed?
There is no fixed number; two to four cycles are typical in the literature. The criterion is whether the intervention has stabilised — that is, whether further cycles produce diminishing returns in design improvement. Each cycle should be long enough to gather meaningful data but short enough to allow timely redesign before the next implementation window.
What does integration look like in practice?
Integration is the point where quantitative findings (e.g., test scores dropped in module 3) are explained by qualitative findings (e.g., observation showed students were confused by the transition between activities). A joint display — a table or diagram that maps quantitative outcomes against qualitative themes — is a common integration technique. The meta-inference then states: module 3 should be restructured to include an explicit bridging activity.
Can this be used outside education?
Yes. Although design-based research originated in educational research, the logic — iterative design, naturalistic testing, dual data streams, actionable principles — applies to any domain where an intervention is being developed: public health, organisational change, software usability, and social work, among others.
Is this approach compatible with a positivist or interpretivist stance?
The design explicitly rests on a pragmatist worldview, which holds that the research method should be chosen based on what best answers the practical question, rather than on ontological allegiance to positivism or interpretivism. Researchers who hold strong commitments to either paradigm may find the philosophical integration uncomfortable; for them a mono-method design may be more coherent.
Sources
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage. ISBN: 978-1506386706
- McKenney, S., & Reeves, T. C. (2018). Conducting Educational Design Research (2nd ed.). Routledge. ISBN: 978-1138574793
How to cite this page
ScholarGate. (2026, June 3). Design-Based Pragmatic Mixed Methods Research. ScholarGate. https://scholargate.app/en/research-design/design-based-pragmatic-mixed-methods
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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