Mixed methods research: designing a dissertation that combines qualitative and quantitative data

Why mix methods at all

Choose mixed methods when your research question genuinely has two parts that need different evidence: a 'what' or 'how much' question answered quantitatively, and a 'why' or 'how' question answered qualitatively. If one method alone could answer your question, do not add the other purely to look thorough — examiners notice when a strand is not doing real analytic work.

Common designs

The two most common designs at dissertation level are explanatory sequential (quantitative first, then qualitative to explain unexpected or interesting results) and convergent (both strands collected around the same time, analysed separately, then compared).

• Explanatory sequential: survey first, then interviews with a subset to explain the patterns found.
• Exploratory sequential: interviews or focus groups first, used to build a survey instrument, then a larger quantitative phase.
• Convergent: both strands run in parallel, results merged at the discussion stage.

Sample size and timing in practice

Be realistic about what a single dissertation timeline allows: a full sequential design with a large survey and 15 follow-up interviews is often too much for an undergraduate timetable. A smaller convergent design, or a sequential design with 6-8 follow-up interviews, is usually more achievable and still defensible.

Whatever the sequence, state clearly in your methodology chapter which phase drove the other, and how findings from the first phase informed decisions in the second (for example, which survey respondents were purposively invited to interview).

Integrating findings, not just presenting them side by side

Integration happens most visibly in the discussion chapter: build a joint display (a table with quantitative findings in one column and matching qualitative quotes in the other) and write explicitly about where the two strands agree, where they diverge, and what the qualitative data explains about the quantitative pattern.

A discussion that has a quantitative section followed by an unrelated qualitative section, with no comparison between them, has not actually mixed the methods — it has just used two of them.

Students also ask

What is mixed methods research?

Mixed methods research deliberately combines qualitative and quantitative data within one study, using each to answer a different part of the research question, with the two strands integrated and compared rather than presented separately.

What is the difference between sequential and convergent mixed methods designs?

In a sequential design one phase (often quantitative) runs first and informs the second (often qualitative), such as using survey results to select interview participants. In a convergent design, both strands are collected around the same time and compared at the analysis stage.

Do I need equal amounts of qualitative and quantitative data?

No. Many strong mixed methods dissertations are quantitatively or qualitatively dominant, with the smaller strand playing a supporting, explanatory role. What matters is that the design is justified and the strands are integrated in the discussion.