The most consequential methodological decision you make is also the most misunderstood. Your approach should be dictated by your research question — not by which software you already know or which method feels easier.
Quantitative — measuring and testing
Quantitative research measures variables and tests relationships or differences using numbers and statistics. Choose it when your questions are about *how much*, *how many*, or *whether X predicts Y*, and you can operationalise your concepts into measurable variables.
Qualitative — understanding and interpreting
Qualitative research explores meaning, experience and process through interviews, focus groups and texts. Choose it when your questions are about *why* or *how* something happens, or when you're exploring a phenomenon that's poorly understood.
Mixed methods — combining both
Mixed-methods designs integrate the two — for example, a survey to establish patterns followed by interviews to explain them. They're powerful but demanding: you must justify *why* combining methods answers your question better than either alone.
Write your research question first. If it asks 'to what extent' or 'does X affect Y', lean quantitative. If it asks 'how do people experience' or 'why does X occur', lean qualitative. If answering it fully needs both, you have a mixed-methods study.
Design it properly
Whichever you choose, the design must be internally consistent from question to analysis. The research methodology hub explains each approach in depth; methodology mentoring and qualitative research support help you build and defend your design.
Frequently asked
Is mixed methods better than a single method?+
Not inherently. Mixed methods add depth only when your question genuinely needs both kinds of evidence — and they demand more time and skill. A well-executed single-method study beats a poorly integrated mixed one.
Which method is easier for a PhD?+
Neither is universally easier; they're differently hard. Quantitative work front-loads design and statistics; qualitative work is labour-intensive in data collection and analysis. Choose by fit to your question, not perceived ease.
phdguide's mentors are senior academics, former supervisors, statisticians and publication specialists with 25+ years of combined experience guiding MBA, MPhil and PhD scholars from topic to viva.
Ethical, compliant guidance: We provide academic support, mentoring, analysis, editing and structuring — not authorship. Your work stays compliant with university policies.