
Strong research methodology convinces reviewers that your findings deserve trust. In plain language, this guide covers how methodology differs from methods, the main paradigms, quantitative, qualitative and mixed approaches, common designs, sampling, data collection, analysis and quality criteria, and it follows one research problem through three different methodologies.
Understanding Research Methodology
Research methodology is the overarching strategy and logic of how a study is conducted: why a certain approach, design, sample, data collection and analysis were chosen, and why they can answer your research question. It captures the “why” and reasoning of the research, rather than only a list of procedures. Reviewers read this reasoning to decide whether your conclusions follow from your evidence.
Methodology vs Methods
| Methodology | Methods | |
|---|---|---|
| Question it answers | Why study the problem this way? | What did you actually do? |
| Level | Strategy and justification | Particular tools and steps |
| Example | Mixed-methods design, since both scale and reasons matter | 20-item questionnaire given to 300 farmers, plus 15 semi-structured interviews |
| Where it appears | Methodology chapter of a thesis; briefly justified in a paper | A paper’s methods section |
If you need help writing up the procedures, read how to write the methods section. Here the focus is on how to choose them.
A Short Guide to Research Paradigms
| Paradigm | View of knowledge | Typical approach |
|---|---|---|
| Positivist / post-positivist | Reality can be measured; seek objective, testable explanations | Mostly quantitative |
| Interpretivist / constructivist | People construct meaning within their context | Mostly qualitative |
| Pragmatic | Use whichever approach best answers the question | Often mixed methods |
Many journal papers skip a long discussion of paradigms, but theses normally include one. Knowing your own helps you justify your choices consistently.
Kinds of Research Methodology
- Quantitative: uses numbers and statistics to measure variables and test hypotheses.
- Qualitative: examines experiences, meanings and processes using words, observation and documents.
- Mixed methods: merges the two, for instance by running a survey and then interviews (explanatory sequential), or interviews and then a survey (exploratory sequential).
Research may also be grouped by purpose — exploratory, descriptive, explanatory or evaluative — and by timing: cross-sectional (a single point in time) or longitudinal (repeated over time).
Research Designs
| Design | Can show | Limitation |
|---|---|---|
| Experimental (randomised) | Cause and effect | Often artificial; can be impractical or unethical |
| Quasi-experimental | Probable effects in real-world settings | Groups can differ in other respects |
| Survey | Patterns among many people | Self-report bias; cannot prove cause |
| Correlational | Strength of relationships | Correlation does not imply causation |
| Case study | Depth and context | Limited generalisation |
| Ethnography | Culture and practice seen from within | Takes a lot of time; researcher influence |
Sampling
| Type | Methods | Use when |
|---|---|---|
| Probability | Simple random, stratified, cluster, systematic | Statistical generalisation to a population is the goal |
| Non-probability | Purposive, convenience, snowball, quota | Specific cases are needed or access is limited; typical of qualitative work |
Justify the sample size in quantitative studies (for example through a power calculation). In qualitative studies, explain how you judged that you had enough data, such as reaching thematic saturation. Whatever the approach, report the reasoning so readers can judge whether the sample suits the claims.
Data Collection Methods
- Questionnaires and surveys — structured and scalable, but the instrument needs validating.
- Interviews and focus groups — detailed and rich; record, transcribe and analyse them systematically.
- Observation — watching behaviour in its natural setting.
- Measurements and experiments — instruments, calibration and protocols.
- Documents and secondary data — records, archives and datasets that already exist.
Data Analysis
Analysis in quantitative work runs from descriptive statistics to tests such as t-tests, ANOVA, chi-square, correlation and regression. Qualitative analysis covers thematic analysis, content analysis and grounded theory. Studies using mixed methods also require an integration step explaining how the two strands inform one another. Settle the analysis plan before you collect data.
Ensuring Validity, Reliability and Trustworthiness
| Quantitative | Qualitative equivalent | How to show it |
|---|---|---|
| Internal validity | Credibility | Controls, triangulation, member checking |
| External validity | Transferability | Representative samples; thick description |
| Reliability | Dependability | Tested instruments; audit trail |
| Objectivity | Confirmability | Transparent procedures; reflexivity |
Worked Example: Three Methodologies for One Problem
Invented problem: “What leads some village households to leave their drinking water untreated?”
| Methodology | Design and sample | What it can answer |
|---|---|---|
| Quantitative | Cross-sectional survey among 300 households chosen at random | How widespread non-treatment is and which factors go with it |
| Qualitative | In-depth interviews with 20 purposively chosen household members | How people view water safety and why they decide as they do |
| Mixed methods | A survey first, followed by interviews with chosen respondents | How common, which factors, and why — accounting for the survey patterns |
No single one is “best”: the right choice depends on your question and your available resources.
Choosing Your Methodology
- Formulate a precise research question.
- Decide which type of evidence would answer it.
- Pick the design able to produce that evidence.
- Plan sampling, data collection and analysis, and justify every choice.
- Deal with ethics: approval, consent, privacy and data handling.
Common Methodology Mistakes
- Picking a method first and bending the question to fit it.
- Claiming cause and effect on the basis of a survey or correlational design.
- Samples that are too small or unjustified.
- Using questionnaires that were not validated or piloted.
- Leaving limitations unstated; see reasons for rejection.
Methodology in a JMVRA Paper
JMVRA reviewers judge whether your methodology is sound and fits the question. Set it out clearly in the methods section, add ethics statements where relevant, and follow the publication guidelines and journal template. Also see research paper format. Short, specific descriptions are easier for reviewers to evaluate than general statements.
JMVRA in brief
- Review: transparent, double-blind peer review, normally by at least two subject experts. Specialist reviewers assess your paper, and you receive the acceptance or rejection decision by email and WhatsApp.
- Fee: Only after acceptance is ₹971 INR (Indian authors) or $41 USD (foreign authors) charged; submission and review are free.
- Access: monthly issues; open access under the CC BY 4.0 licence; ISSN 2984-8911; submissions have no closing date; a Crossref DOI on request.
- Indexing: JMVRA appears in Google Scholar and is registered with Crossref and the ISSN Portal / ROAD; it is not currently indexed in Scopus, Web of Science or DOAJ.
Share Your Research Through JMVRA
Make JMVRA the home of your research
JMVRA (ISSN 2984-8911) is a peer-reviewed, open access journal spanning many disciplines. Submission is free. Specialist reviewers assess your paper, and you receive the acceptance or rejection decision by email and WhatsApp.
- 1. Work from the guidelines
- 2. Submit online
- 3. Peer review
- 4. Decision by email & WhatsApp
- 5. Get published openly (open access)
Your At-a-Glance Checklist
- QuestionPrecise and answerable
- ApproachQuan, qual or mixed
- DesignCan answer the question
- SampleJustified size and method
- AnalysisPlanned in advance
- EthicsApproval and consent
Practical Tips for Defending Your Methodology Choices
A methodology section convinces readers only when every choice is justified by the research problem. These habits help you build a design that reviewers can follow and trust from the first reading.
- Start from the question, not the tool. Write your research question in a single sentence and ask what kind of evidence would truly answer it. Choose the approach only after that, so the design never looks like a favourite technique searching for a problem.
- Keep a decision diary. Note each design choice as you make it, together with the reason and the alternative you rejected. Later, this diary turns into a clear justification paragraph that saves you from vague, last-minute explanations.
- Test your instruments early. Try your questionnaire, interview guide or measurement procedure on a small group before the main study. Pilot feedback exposes confusing wording, impossible timings and missing options while they are still cheap to fix.
- Describe steps another person could repeat. Explain who or what was studied, how they were selected, what was done and in which order. If a capable stranger could not rerun your procedure from the text, add the missing detail.
- State limitations before reviewers do. Admit honestly where your sample, setting or method restricts what can be claimed. A calm, specific limitations note shows judgement and usually earns more trust than silence on weak points.
Let the research question drive every methodological choice, and record your reasons while you work so the written section reads as deliberate rather than accidental.
Questions Researchers Often Ask
In Summary
Methodology is the backbone of a research paper. Let your research question determine the approach, select a design capable of answering it, justify sampling, data collection and analysis, deal with quality and ethics, and be honest about your limitations. A clear and justified methodology makes each later section more persuasive.
Looking to publish? Send your research to JMVRA
JMVRA (ISSN 2984-8911) is a peer-reviewed, open access journal spanning many disciplines. Submission is free. Specialist reviewers assess your paper, and you receive the acceptance or rejection decision by email and WhatsApp.
- 1. Work from the guidelines
- 2. Submit online
- 3. Peer review
- 4. Decision by email & WhatsApp
- 5. Get published openly (open access)
References and Further Resources
Methodology Summary
- QuestionPrecise
- ApproachQuan, qual, mixed
- DesignFits the question
- SampleJustified
- AnalysisPlanned
Related: Methods section · Paper format · Submit Paper.
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JMVRA is a Transparent, Peer-Reviewed, Open Access Journal (Refereed Journal). Following the discontinuation of the UGC and UGC-CARE journal listing, and in alignment with the latest UGC-CARE recommendations and guidelines, JMVRA is aligned with UGC’s Suggested Parameters for Choosing Peer-Reviewed Journals.
Further reading on jmvra.org
Key Terms
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Read the guideKeep Reading on the JMVRA Blog
This article sits on the JMVRA journal blog, where practical guidance covering publishing, indexing, metrics and research integrity is written to be verifiable, not promotional.
