Multiple-Case Design-Based Research
Also known as: multi-site DBR, multi-case design experiment, multiple-site design research, MCDBR
Multiple-case design-based research (MCDBR) is an interventionist methodology drawn from the learning sciences and education research. It extends single-site design-based research by implementing and iteratively refining an educational intervention across two or more distinct sites, contexts, or participant groups simultaneously or sequentially. The cross-case structure strengthens theoretical transferability and exposes context-dependent variations that a single site could never reveal.
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When to use it
Use MCDBR when you want to develop, test, and refine an educational intervention while simultaneously building transferable theoretical knowledge — and when replication across varied real-world contexts is necessary for credibility. It is especially appropriate in education, instructional design, educational technology, and social science fields where interventions must work across institutional or cultural variations. Do not use it when the research question is purely descriptive or explanatory with no intent to design or improve an intervention, when resources allow only a single site, or when quantitative causal inference (via randomised controlled trial) is the primary goal. Also avoid it when the implementation sites are too homogeneous to yield meaningful cross-case contrast.
Strengths & limitations
- Combines rigorous theory development with practical intervention improvement in a single study.
- Cross-site replication logic substantially strengthens the transferability and generalisability of design principles beyond single-case DBR.
- Iterative cycles allow incremental refinement of the intervention based on real classroom or field evidence.
- Mixed-methods data collection at each site captures both outcomes and the mechanisms behind them.
- Directly produces artefacts (curricula, tools, protocols) that practitioners can adopt, not just theoretical knowledge.
- Highly resource-intensive: coordinating data collection, embedded researchers, and iterative redesign across multiple sites demands substantial time, funding, and personnel.
- Findings are not statistically generalisable to a population in the way randomised trials are; transferability depends on theoretical rather than statistical logic.
- Managing site-level variation while maintaining cross-case comparability requires careful protocol design and creates ongoing tension between standardisation and local authenticity.
- Cross-case analysis can produce complex, voluminous datasets that are difficult to synthesise into clean design principles.
- Ethical and logistical challenges multiply with site count — consent, gatekeeper negotiations, and site attrition all scale with the number of cases.
Frequently asked
How is MCDBR different from a multiple-case study?
Both use multiple cases and cross-case comparison logic. The key difference is intent and process: a multiple-case study investigates an existing phenomenon as it naturally occurs. MCDBR introduces, tests, and iteratively redesigns an intervention — the researcher is a co-designer, not just an observer. The output is both a refined artefact and a grounded theory of why the design works, whereas a case study outputs a rich descriptive or explanatory account.
How many sites do I need?
Two sites is the minimum that enables cross-case comparison, but two cases risk the comparison being dominated by a single idiosyncratic difference. Three to five purposefully chosen sites is the most common range in published MCDBR studies. Site count is driven by the theoretical contrasts you need to test — not by statistical power. More sites add analytic burden; the quality of site selection matters more than quantity.
Can MCDBR be combined with quantitative methods?
Yes, and many studies do. Quantitative data (test scores, usage logs, surveys) collected at each site enriches within-case analysis and makes cross-case comparisons more precise. The methodology is fundamentally mixed-methods: qualitative data answer how and why the intervention works, quantitative data answer whether and to what degree. The design-and-refine cycle logic remains the organising principle regardless of the data types used.
What counts as an 'iteration' in MCDBR?
An iteration is one complete cycle of implementation, analysis, and redesign. In practice, micro-iterations (adjusting materials mid-cycle at one site) and macro-iterations (a full redesign between implementation rounds) both occur. Most published MCDBR studies report two to four macro-iterations. Each iteration should be clearly documented so readers can trace how design principles evolved in response to cross-site evidence.
Is MCDBR suitable for a doctoral dissertation?
Single-site DBR is more manageable at dissertation level; MCDBR is ambitious and resource-intensive. It is feasible if the researcher has institutional access to multiple sites, a realistic timeline of two to three years, and a supervisory team experienced with qualitative and mixed-methods analysis. Some dissertations use a two-site minimum with two iterations — enough to satisfy the cross-case logic while remaining scoped to a doctorate.
Sources
- Brown, A. L. (1992). Design experiments: Theoretical and methodological challenges in creating complex interventions in classroom settings. Journal of the Learning Sciences, 2(2), 141–178. DOI: 10.1207/s15327809jls0202_2 ↗
- Herrington, J., McKenney, S., Reeves, T., & Oliver, R. (2011). Design-based research and doctoral students: Guidelines for preparing a dissertation proposal. In Proceedings of EdMedia 2007: World Conference on Educational Multimedia, Hypermedia and Telecommunications. Association for the Advancement of Computing in Education (AACE). link ↗
How to cite this page
ScholarGate. (2026, June 3). Multiple-Case Design-Based Research. ScholarGate. https://scholargate.app/en/field-methods/multiple-case-design-based-research
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.
- Action ResearchQualitative Research↔ compare
- Case StudyQualitative↔ compare
- Comparative Case StudyQualitative↔ compare
- Design-based ResearchField Methods↔ compare
- Participatory Action ResearchQualitative↔ compare