Types of Research Methodology: Complete Guide for PhD Scholars 2026
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Vignesh Kumar
PhD Research Consultant & Academic Writing Specialist
- 10+ years guiding PhD scholars through research design and methodology writing
- Expert in qualitative, quantitative, and mixed methods research designs
- Mentored 400+ researchers to successful thesis submission and publication
Research methodology refers to the systematic framework of principles, procedures, and methods used to conduct research. The three main types are qualitative (non-numerical, exploratory), quantitative (numerical, hypothesis-testing), and mixed methods (combining both). Your choice of methodology must be justified by your research questions, objectives, and philosophical assumptions about the nature of knowledge in your field.
The methodology chapter is where many PhD scholars lose marks — not because their research design is weak, but because they describe what they did without justifying why they did it. Examiners want to see that you understand the philosophical foundations of your chosen approach, not just the procedural steps.
This guide breaks down every type of research methodology with clear explanations, examples, and guidance on choosing the right approach. For help writing the methodology chapter itself, see: How to Write a Research Methodology Chapter.
Need expert guidance on selecting and justifying your research methodology? Chat with our PhD Consultants
The Research Methodology Framework
| Level | Decision Required | Options |
|---|---|---|
| Research Paradigm | Philosophical worldview | Positivism, Interpretivism, Pragmatism, Critical Theory |
| Research Approach | Direction of reasoning | Inductive, Deductive, Abductive |
| Research Strategy | Study design type | Survey, Case Study, Experiment, Ethnography, Action Research |
| Data Type | Nature of data needed | Qualitative, Quantitative, Mixed |
| Data Collection Method | How data is gathered | Interviews, Questionnaires, Observation, Documents, Experiments |
| Data Analysis Method | How data is analysed | Thematic Analysis, SPSS, Regression, Content Analysis, SEM |
Type 1: Qualitative Research Methodology
Qualitative research explores phenomena through non-numerical data — words, images, observations, and meanings. It is used when you want to understand the 'how' and 'why' behind human behaviour, experiences, and social phenomena. Common qualitative methods include interviews, focus groups, ethnography, case studies, and document analysis. Analysis methods include thematic analysis, content analysis, and grounded theory.
For a deep dive into qualitative approaches, see: Qualitative Research Methods: Complete Guide for PhD.
Type 2: Quantitative Research Methodology
Quantitative research collects and analyses numerical data to test hypotheses, measure relationships between variables, and generalise findings to larger populations. Common approaches include structured surveys, experiments, and secondary data analysis. Statistical tools include SPSS, R, and AMOS for SEM. See: Quantitative Research Methods Guide for PhD and How to Use SPSS for Data Analysis.
Type 3: Mixed Methods Research
Mixed methods research integrates qualitative and quantitative data in a single study to address research questions that neither approach can answer alone. Common designs include: Sequential Explanatory (quantitative first, then qualitative to explain), Sequential Exploratory (qualitative first, then quantitative to test), and Concurrent Triangulation (both simultaneously). Mixed methods is especially valued in social sciences, education, and management research.
Key Research Design Types
| Design Type | Purpose | Example |
|---|---|---|
| Exploratory | Explore an understudied phenomenon | Understanding barriers to EdTech adoption in rural India |
| Descriptive | Describe characteristics of a population | Profile of PhD scholars in Indian state universities |
| Causal / Explanatory | Establish cause-and-effect relationships | Impact of training programs on employee productivity |
| Experimental | Test interventions under controlled conditions | Effect of a teaching method on student learning outcomes |
| Case Study | In-depth analysis of one or a few cases | Digital transformation in a specific Indian MSME |
For a complete guide to choosing and justifying your research design, see: How to Choose the Right Research Design for Your PhD Thesis.
How to Justify Your Methodology Choice
Simply stating 'I used a quantitative approach' is insufficient for a PhD methodology chapter. You must explain why it is the most appropriate approach for your research questions, acknowledge its limitations, and reference methodologists who support your choice (e.g., Creswell, Bryman, Saunders et al.).
"Your methodology is the intellectual spine of your thesis. Every data collection and analysis decision you make must trace back to a justified philosophical position and research question. Without that justification, your methodology chapter reads as a description of tasks, not scholarship."
— Vignesh Kumar, PhD Research Consultant, Thesis Ace Writers
Related Reading from Thesis Ace Writers
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Frequently Asked Questions
Click a question to expand the answer.
The three main types are: (1) Qualitative research — explores phenomena through non-numerical data (interviews, observations, thematic analysis); (2) Quantitative research — tests hypotheses using numerical data (surveys, experiments, statistical analysis); and (3) Mixed methods — combines both qualitative and quantitative approaches in a single study.
Your methodology should be driven by your research question. Questions asking 'how' and 'why' typically need qualitative methods. Questions asking 'how much', 'how many', or testing specific relationships need quantitative methods. Questions requiring both exploration and measurement benefit from mixed methods designs.
Research methodology is the overall philosophical and strategic framework guiding your study — including your research paradigm, design, and approach. Research methods are the specific tools and techniques used within that framework — such as surveys, interviews, or experiments.
A research paradigm is your philosophical worldview about the nature of reality and how knowledge is gained. Key paradigms are positivism (objective, measurable reality), interpretivism (subjective, socially constructed reality), pragmatism (what works for the problem), and critical theory. Your paradigm underpins your entire methodology.
Survey-based quantitative research (often using structured questionnaires and SPSS analysis) is the most common methodology in Indian management, commerce, and social science PhD theses. In STEM fields, experimental and quasi-experimental designs are more common.
Yes, but it requires supervisor approval and potentially a revised synopsis. Methodology changes should be made early in the PhD — ideally before pre-PhD coursework completion or synopsis submission. Late-stage methodology changes can significantly delay your research timeline.