Explanatory Sequential Mixed Methods Design
Explanatory Sequential Mixed Methods Research Design · Also known as: explanatory sequential design, QUAN → qual design, two-phase explanatory design, sequential explanatory design
The explanatory sequential mixed methods design is a two-phase research approach in which a quantitative study is conducted first, and qualitative data are then collected specifically to help explain or elaborate the initial quantitative results. The quantitative phase carries greater priority; the qualitative phase is purposefully built around the findings — such as surprising results, outliers, or statistically significant relationships — that need deeper interpretation.
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When to use it
Use this design when you already have or plan to collect quantitative data, and the results produce patterns, relationships, or group differences that require qualitative explanation. It is particularly well suited when unexpected quantitative results arise during data analysis, when you need to explain why a significant effect occurred, or when a subgroup difference demands a contextual account. Do not choose this design if qualitative insights are needed before any quantitative instrument can be developed — use an exploratory sequential design instead. Avoid it when the research question calls for simultaneous or equal-weight collection of both data types, and when the timeline cannot accommodate two genuinely separate phases.
Strengths & limitations
- The two-phase structure is straightforward to implement and communicate to funders, ethics boards, and readers unfamiliar with mixed methods.
- Qualitative data are purposefully targeted at the most important quantitative results, maximising interpretive efficiency.
- The sequential logic allows each phase to be fully planned and executed before the next begins, maintaining methodological quality in both strands.
- Produces findings that carry both statistical breadth and contextual depth — numbers locate the pattern, words explain it.
- Widely accepted in education, health sciences, and social science journals because the design rationale is transparent and easy to follow.
- Two full phases require substantially more time and resources than a single-method study.
- The quantitative results must be available before the qualitative phase can be designed, which creates a sequential bottleneck that cannot be compressed.
- If the quantitative phase yields uniformly expected results with no puzzles or outliers, the rationale for the qualitative follow-up weakens.
- Integration is limited to one direction — qualitative explains quantitative — so the design cannot capture how qualitative insights might reframe the quantitative questions.
- Qualitative sampling is constrained to individuals accessible from the original quantitative sample, which may not include the most information-rich informants.
Frequently asked
How is this design different from the exploratory sequential design?
The two designs run in opposite directions. In the explanatory sequential design, quantitative data come first and qualitative data follow to explain the results — the quantitative phase has priority. In the exploratory sequential design, qualitative data come first to explore the terrain, and the findings are then used to build or inform a quantitative instrument or intervention — the qualitative phase has priority. Choose based on what you need to do first: measure or explore.
Does the qualitative phase have to use a small sample?
Not necessarily, but it is common. Because the qualitative follow-up is purposively targeted at specific quantitative results, you select participants who best represent the patterns of interest — not a large random sample. Typically 10–25 participants suffice for in-depth interviews, depending on the complexity of the follow-up question. The goal is conceptual richness, not statistical representativeness.
Can the quantitative and qualitative phases be reported in separate publications?
Technically yes, but splitting them creates an integration problem. The defining value of the explanatory sequential design lies in the explicit connection between the two phases. If they are reported separately, the integration — which is where the mixed methods contribution lives — either disappears or becomes very difficult for readers to follow. Reporting both phases within a single publication or dissertation chapter is strongly preferred.
What if the quantitative results are entirely as expected — should I still do the qualitative phase?
You should examine whether a genuine explanatory need still exists. If all results are predicted and theoretically self-evident, the qualitative phase risks being redundant. In practice, most large quantitative studies produce at least some unexpected nuance worth exploring. If not, you may need to revisit whether a mixed methods design was the right choice from the outset, or reframe the qualitative phase to address a different, substantively important question about the quantitative findings.
How do I report the integration of the two phases?
Integration is typically reported in a dedicated mixed methods discussion section that brings both strands together. A useful structure is to state each quantitative finding that motivated follow-up, summarise the qualitative themes that emerged from that follow-up, and then explicitly state what the combination reveals that neither strand could have shown alone. Joint displays — tables or figures that align quantitative results with corresponding qualitative themes — are increasingly recommended as a concrete integration tool.
Sources
- Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
- Plano Clark, V. L., & Creswell, J. W. (2007). The Mixed Methods Reader. Sage. link ↗
How to cite this page
ScholarGate. (2026, June 3). Explanatory Sequential Mixed Methods Research Design. ScholarGate. https://scholargate.app/en/research-design/explanatory-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.
- Case StudyQualitative↔ compare
- Concurrent Embedded Mixed Methods DesignResearch Design↔ compare
- Concurrent Triangulation Mixed Methods DesignResearch Design↔ compare
- Exploratory Sequential Mixed Methods DesignResearch Design↔ compare
- Multiphase Mixed Methods DesignResearch Design↔ compare
- Survey ResearchResearch Design↔ compare