Mixed methods research deliberately combines numbers and words in one study — quantitative data to show what is happening and how widely, qualitative data to explain why. Used together, each covers the other’s blind spot.

Why pick a side? A survey tells you 40% of nurses plan to leave; interviews tell you why they feel that way. On their own, each is half a story. Together they give something neither could alone: a finding that is both broad and deep — the scale of a problem and its human heart.

Common ways to combine them

  • Explain — run a survey, then interview some respondents to understand the numbers.
  • Explore — interview first to find the issues, then survey to measure how widespread they are.
  • Converge — do both at once and see whether they tell the same story (when they do, your confidence soars).
Two lenses, one picture
A study finds library use dropped 30% (the number) and, through interviews, that students now study online and find the building’s hours inconvenient (the reason). The decision — extend hours, boost digital services — rests on both. Numbers alone would have measured the fall without ever explaining it.

Worth the extra effort

Mixed methods take more time and a wider skill set — you must do both kinds of research well. But for complex, real-world questions, the payoff is a richer, more convincing answer that’s harder to dismiss. The trick is to combine on purpose, not just to do two studies side by side.

Try this
Take a question you care about. What would the “numbers” half look like, and what would the “stories” half add? Imagining both is the mixed-methods mindset.

🔗 A friendly free guide: Excelsior OWL — Research

Whichever design you choose, a project only succeeds if it’s well planned and feasible. Let’s bring it all together. On to Research Project Planning.

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Última modificación: viernes, 5 de junio de 2026, 08:11