Research Methodology Examples: Qualitative, Quantitative and Mixed Methods (2026)

Quick answer

Research methodology is the reasoned approach used to answer a research question; methods are the specific ways evidence is gathered and analysed. Qualitative work can explore meanings or experiences, quantitative work can examine measurable variables or patterns, and mixed methods can combine both only when the study explains how the evidence will be integrated. Let the problem, question, requirements, feasibility, ethics, and skills drive the choice.

Start with the question, not a favourite method

Saint Peter’s University explains that the research problem and question should inform methodology selection, rather than a researcher bending a study to fit a preferred method. Exploratory questions about meanings, experience, and process may fit qualitative inquiry; questions about frequency, defined variables, or patterns may fit quantitative inquiry. A complex question may justify mixed methods when both forms of evidence are needed. Saint Peter’s University — Overview of Research Methods

Qualitative, quantitative, and mixed methods at a glance

Qualitative research methodology example

Fictional planning model — do not submit: “[How do peer mentors in one named programme describe barriers and supports while facilitating online study groups during one semester?]” A feasible plan might use permitted semi-structured interviews with a defined group, analyse recurring themes and differences, and specify consent, privacy, access, researcher position, and limitations. It explores accounts and meanings; it does not test whether mentoring causes grade improvement or require a statistical hypothesis.

For the separate framework task, read the conceptual framework example guide. A qualitative framework should not automatically use causal arrows.

Quantitative research methodology example

Fictional planning model — do not submit: “[Among eligible first-year students in one named programme, is reported weekly participation in peer-feedback activities associated with a specified study-engagement measure during one semester?]” The plan needs defined, permitted measures, a feasible sample, a clear collection window, missing-data decisions, privacy safeguards, and an analysis appropriate to the design. An observed association would not prove causation.

Where a formal prediction fits defined variables and a testable design, the Research Hypothesis Generator can create a reviewable quantitative starting point. Verify theory, variables, wording, and methodological fit yourself.

Mixed-methods research example: plan the integration

Fictional planning model — do not submit: “[What peer-feedback participation patterns are present, and how do selected students describe factors that help or limit participation?]” A plan might first collect permitted participation or survey data and then use interviews to explore a justified subset or observed pattern. It must state why both components are needed, their timing and priority, and how numerical and interview findings will be connected.

Harvard Catalyst emphasises that mixed methods is not merely having qualitative and quantitative data: integration can occur during data collection, analysis, or presentation. Harvard Catalyst — Mixed Methods Research The research-methods literature also distinguishes sequential exploratory, sequential explanatory, convergent, and nested designs. Kajamaa et al. — How to do mixed-methods research

Methodology alignment checklist

• Can each question be answered with the proposed evidence and analysis?
• Are concepts or variables defined from relevant sources, without claims the design cannot support?
• Are access, skills, time, sample or data volume, privacy, consent, risks, storage, approvals, and limitations realistic?
• Do the discipline, department, programme, and institutional instructions permit and require the proposed design?

The research proposal guide covers the separate job of presenting a plan to a supervisor, programme, institution, or funder.

A source-first methodology workflow

1. Read the local brief and define a focused problem.
2. Find scholarly source leads, then assess the original studies’ context, methods, evidence, and limits.
3. Compare method choices in the evidence base with an RRL synthesis matrix or the Evidence Review Workspace.
4. Use the separate theoretical framework guide or conceptual framework example guide only when that framework work is needed.
5. After planning and conducting the study, use the separate research paper guide for the completed-paper workflow.

Important boundaries

These examples show alignment decisions, not ready-to-submit methods sections. Do not copy them, fabricate evidence, label a study mixed methods without integration, claim causation from an unsuitable design, or begin activity requiring formal approval before that approval is granted. Tools cannot replace original-source reading, method expertise, ethics review, supervisor guidance, or institutional policy.

Frequently asked questions

How do I choose between qualitative, quantitative, and mixed methods?

Start with the problem and question. Qualitative work often explores meanings, experiences, or processes; quantitative work often measures variables, patterns, or relationships; mixed methods requires both evidence types and a deliberate integration plan.

When is mixed methods appropriate?

It can be appropriate when one study needs quantitative and qualitative evidence and a stated plan for connecting them. State why both are needed, their timing and priority, and the integration point.

Can a tool choose my methodology for me?

No. Tools can support discrete tasks, but final methodology requires source reading, method competence, feasibility and ethics checks, and local guidance.

Sources and further reading

• Saint Peter’s University — Overview of Research Methods
• Harvard Catalyst — Mixed Methods Research
• UCSF Library — Qualitative Research Guide: Mixed Methods
• Kajamaa et al. — How to do mixed-methods research

About the Author

Zunair Ali Syed is a doctoral researcher in Management Sciences at Minhaj University Lahore and a research consultant with experience in academic research and editing since 2011. He runs QuickEduHelp, with professional interests in digital learning, research methods, and evidence-based academic support.