Types of Research Methodology: Complete Guide (2026)
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Research methodology is the overall framework that guides how a study is designed and conducted. Understanding the types of research methodology is essential for selecting the right approach for your research questions — the wrong methodology produces invalid findings regardless of how carefully it is executed.
Overview: Types of Research Methodology
Research Methodology Landscape
Interviews, focus groups, ethnography
Surveys, experiments, RCT
Explanatory/exploratory sequential
RCT, quasi-experiment
Survey, census, observation
Plan-act-observe-reflect cycle
Qualitative vs Quantitative: Full Comparison
| Factor | Qualitative Research | Quantitative Research |
|---|---|---|
| Purpose | Explore, understand, interpret | Measure, test, predict |
| Data Type | Words, images, observations | Numbers, statistics |
| Sample | Small, purposive (theoretical saturation) | Large, random (statistical power) |
| Data Collection | Interviews, observation, document analysis | Surveys, experiments, secondary data |
| Analysis | Thematic, grounded, narrative, content analysis | Descriptive statistics, regression, ANOVA, SEM |
| Software | NVivo, ATLAS.ti, MAXQDA | SPSS, R, Stata, Python |
| Generalisability | Transferability (to similar contexts) | Statistical generalisation |
| Philosophical position | Interpretivist, constructivist | Positivist, post-positivist |
Specific Research Designs Within Each Approach
Quantitative Designs
- Experimental — Random assignment to groups; highest causal validity; used in medical trials, educational interventions
- Quasi-experimental — Non-random group assignment; practical alternative when randomisation is impossible
- Survey/Cross-sectional — Large sample at one point in time; measures prevalence, attitudes, relationships
- Longitudinal — Same sample tracked over time; measures change
- Correlational — Measures relationships between variables without manipulation; no causal inference
Qualitative Designs
- Case Study — In-depth investigation of one or few cases in context (Yin, Stake)
- Ethnography — Researcher embeds in a social group to understand culture (Geertz)
- Phenomenology — Explores the lived experience of a phenomenon from the participant's perspective (Husserl)
- Grounded Theory — Builds new theory from qualitative data through constant comparison (Glaser & Strauss)
- Narrative Inquiry — Studies individual life stories and how people construct meaning
Mixed Methods Designs
| Design | Sequence | Use When |
|---|---|---|
| Explanatory Sequential | Quantitative → Qualitative | Qualitative explains unexpected quantitative results |
| Exploratory Sequential | Qualitative → Quantitative | Qualitative findings are tested at scale quantitatively |
| Convergent Parallel | Both simultaneously | Results merged to provide comprehensive picture |
15 Types of Research — Quick Reference
By approach: Qualitative, Quantitative, Mixed Methods. By purpose: Exploratory, Descriptive, Explanatory/Analytical. By process: Experimental, Non-experimental (Descriptive, Survey, Case Study, Ethnography). By time: Cross-sectional, Longitudinal. By data type: Primary, Secondary. By application: Basic (pure), Applied, Action Research, Evaluation Research. Exam and viva questions about research methodology often require you to explain which of these your study falls into and why.
Struggling to choose or justify your research methodology? Our PhD research specialists help you select the right approach and write a methodology chapter that passes examination.
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Frequently Asked Questions
Click a question to expand the answer.
The three main types of research methodology are: (1) Quantitative — uses numerical data and statistical analysis to test hypotheses; (2) Qualitative — uses non-numerical data (interviews, observations, texts) to explore meanings; (3) Mixed Methods — combines both quantitative and qualitative approaches. Within these broad categories, specific research designs include experimental, survey, case study, ethnography, grounded theory, action research, and systematic review.
Qualitative research explores the 'why' and 'how' — it investigates meanings, experiences, and social phenomena using non-numerical data (interviews, observations, documents). It produces rich, detailed findings but is not statistically generalisable. Quantitative research tests the 'what' and 'how much' — it measures variables and tests relationships using numerical data and statistics. It produces generalisable findings across populations but may miss depth of context. Choose qualitative to explore; choose quantitative to measure and confirm.
Descriptive research describes the characteristics of a phenomenon, population, or situation as it exists — without manipulating any variables. It answers 'what is?' questions. Examples: a survey describing student satisfaction levels in Indian universities; a census study mapping the prevalence of mental health issues among PhD scholars; a case description of a school's reading programme. Descriptive research is non-experimental and does not establish cause-and-effect relationships.
Experimental research tests cause-and-effect relationships by manipulating one or more independent variables and measuring their effect on a dependent variable, under controlled conditions. The gold standard is the Randomised Controlled Trial (RCT) — participants are randomly assigned to treatment or control groups. Examples: testing a new drug's effect on tumour growth; testing whether a teaching method improves student test scores. Experimental research is strongest for causal claims but is often difficult or impossible in social science settings.
Exploratory research is conducted when little is known about a topic — it seeks to identify key themes, generate hypotheses, and define scope. It typically uses qualitative methods (interviews, focus groups). Explanatory research seeks to explain why something happens — it tests hypotheses about causal relationships, typically using experimental or correlational designs with statistical analysis. The research onion framework (Saunders) positions these as Research Purposes — exploratory, descriptive, and explanatory.
The 'best' research methodology for a PhD depends entirely on your research questions. No methodology is universally superior. Choose Quantitative if your research question asks 'how much?', 'is there a difference?', 'what is the relationship between?' Choose Qualitative if your question asks 'why?', 'how does it feel?', 'what does it mean?', or 'what process is involved?'. Choose Mixed Methods if you need both measurement and meaning. The methodology must be logically aligned with your research questions — this alignment is what examiners and reviewers assess.