Exploratory Sequential Mixed Methods Design
Also known as: QUAL → QUAN design, exploratory sequential design, instrument-development design, theory-building mixed methods
The exploratory sequential mixed methods design is a two-phase research framework in which a qualitative phase is conducted first to explore a poorly understood phenomenon, and the findings then inform a subsequent quantitative phase — typically to develop and test a survey instrument, measure a theory, or generalize qualitative insights to a larger population. The qualitative strand guides what is measured; the quantitative strand tests or extends those findings at scale.
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When to use it
Use this design when constructs, variables, or measures for a quantitative study do not yet exist or are inadequate for the population under study, making it necessary to first explore qualitatively before measuring at scale. It is especially appropriate for instrument development, theory building in new domains, and research with communities whose perspectives are absent from existing scales. Do not use it when the phenomenon is already well-characterized and validated measures exist (an explanatory sequential or concurrent design will be more efficient), when time and resources preclude running two full sequential studies, or when the research purpose is purely exploratory with no intention to generalize.
Strengths & limitations
- Produces a quantitative instrument that is directly grounded in participants' own language and conceptual categories, improving content validity.
- Well suited to under-researched populations or phenomena where standardized tools are absent or culturally misaligned.
- The sequential logic is easy to communicate and justify to research committees and journal reviewers.
- Allows theory or model building from qualitative data to be tested empirically, bridging inductive and deductive reasoning within one study.
- The qualitative phase clarifies research questions, preventing the researcher from measuring the wrong constructs in a large expensive survey.
- Each phase uses its own rigorous quality standards independently, reducing the risk of compromising one tradition for the other.
- Highly resource-intensive and time-consuming: two complete data collection and analysis cycles are required before any integration can occur.
- The final instrument reflects the qualitative sample's perspectives; if that sample is not carefully selected, the quantitative phase may still miss important variation.
- The two-phase nature can introduce a long lag between early qualitative findings and quantitative testing, during which context may change.
- Requires competence in both qualitative and quantitative methods — and in the integration logic — which demands more methodological breadth than single-strand designs.
Frequently asked
How is this different from the explanatory sequential design?
The direction is reversed. In the exploratory sequential design, qualitative comes first to generate constructs or instruments that the quantitative phase then tests or extends. In the explanatory sequential design, quantitative data are collected first and qualitative follow-up is used to explain unexpected or nuanced numerical results. The exploratory design is instrument-building or theory-building in purpose; the explanatory design is elaborative in purpose.
Does the qualitative phase always have to produce a new survey instrument?
No. Creswell and Plano Clark describe two variants: the instrument-development variant (the most common, where qualitative themes become survey items) and the taxonomy-development variant (where qualitative categories form a typology or taxonomy that guides the design of the quantitative study). In both cases the qualitative findings directly shape what is measured in the second phase.
How large should the qualitative sample be?
Large enough to reach thematic saturation for the constructs you intend to measure. Typically 10–30 participants is workable, but the criterion is saturation, not a fixed number. If the phenomenon is homogeneous, fewer participants may suffice; if it is highly varied across groups, more are needed. Purposive sampling to maximize variation across key characteristics is generally recommended.
Can I use existing qualitative data from a prior study for the first phase?
Yes, if the prior data are sufficiently rich, relevant to the current research question, and from a comparable population. Secondary qualitative data are sometimes used to inform instrument development. However, you must document this clearly and assess whether the data adequately represent the constructs you intend to measure — reusing thin data from a prior study will undermine the validity of the instrument you build.
How is integration reported in published articles?
Integration is typically reported in two places: in the methods section, where you explain explicitly how qualitative themes were operationalized into quantitative items (often in a table mapping themes to items), and in the discussion, where you interpret the quantitative findings in light of the qualitative themes to answer whether and how the in-depth patterns hold at scale. A results section that reports the two phases in entirely separate silos without connecting them is a common methodological weakness reviewers flag.
Sources
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage. ISBN: 978-1506386706
How to cite this page
ScholarGate. (2026, June 3). Exploratory Sequential Mixed Methods Design. ScholarGate. https://scholargate.app/en/research-design/exploratory-sequential-mixed-methods-design
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.
- Concurrent Embedded Mixed Methods DesignResearch Design↔ compare
- Concurrent Triangulation Mixed Methods DesignResearch Design↔ compare
- Explanatory Sequential Mixed Methods DesignResearch Design↔ compare
- Grounded TheoryQualitative Research↔ compare
- Multiphase Mixed Methods DesignResearch Design↔ compare
- Survey ResearchResearch Design↔ compare