Research Methodology for a Project Report: What to Write
By Vivek Singh · · 4 min read
In short
The research methodology chapter explains how the study was done, in enough detail that someone could repeat it. It states the research design, the area and population, the sample size and sampling method, the sources of primary and secondary data, the tools used to analyse the data, the hypotheses and the limitations of the study.
Key takeaway
The methodology chapter answers one question: how did you find out what you claim to have found? It states the design, the sample, the data sources, the tools of analysis and the limitations, each with a sentence on why. Write what you actually did, in the past tense; this is the chapter the viva tests most closely.
What the chapter contains
- Statement of the problem (brief, if not already in Chapter 1)
- Objectives of the study
- Hypotheses, where required
- Research design
- Area and population of the study
- Sample size and sampling method
- Sources of data: primary and secondary
- Tools and techniques of analysis
- Period of the study
- Limitations
Research design
| Design | What it does | Typical project |
|---|---|---|
| Descriptive | Describes a group or a situation as it is | Customer satisfaction, awareness, usage studies |
| Exploratory | Looks into a new or unclear subject | A first study of a new product or trend |
| Analytical | Uses existing data to evaluate or compare | Ratio analysis of a company's accounts |
| Causal | Tests whether one thing affects another | Effect of training on performance |
Name the design and add one sentence on why it suits your objectives.
Population and sample
- Population: everyone the study is about, for example "users of food delivery apps in [your area]".
- Sample: the part of the population you collected data from.
- Sample size: the number of respondents. State it once and make sure every table in the analysis adds up to it.
Sampling methods
Probability sampling: every member of the population has a known chance of selection.
- Simple random: chosen by lottery or random numbers from a full list
- Systematic: every nth member of a list
- Stratified: the population is divided into groups, and a sample is drawn from each
- Cluster: whole groups, such as classes or buildings, are chosen at random
Non-probability sampling: selection depends on access or judgement.
- Convenience: whoever is easiest to reach
- Purposive or judgement: people chosen because they fit the study
- Quota: a fixed number from each category
- Snowball: respondents refer other respondents
Most student projects use convenience sampling. That is acceptable when it is stated honestly, with its effect noted under limitations: the findings cannot be generalised to the whole population.
Sources of data
- Primary data: collected by you. State the instrument (a structured questionnaire, interviews, observation), how it was administered (online form, in person) and when.
- Secondary data: books, journals, company annual reports, government and regulator publications, websites. These also appear in your references.
Tools of analysis
Name only the tools you used:
- Percentage analysis: the share of respondents choosing each option. Used in almost every project.
- Tables and charts: pie, bar and column charts drawn from the tables.
- Averages: mean scores for rating questions.
- Ratio analysis: for studies built on financial statements.
- Statistical tests: such as the chi-square test or correlation, if your college expects them and you can explain the result.
Hypotheses
A hypothesis is a statement your data will test. They are written in pairs:
- Null hypothesis (H0): there is no relationship or difference. "There is no significant relationship between age group and choice of payment app."
- Alternative hypothesis (H1): there is. "There is a significant relationship between age group and choice of payment app."
In the analysis or findings chapter, say for each whether it was accepted or rejected, and on what evidence.
Limitations of the study
Three to five, stated plainly:
- The study was limited to [area] and [number] respondents
- Convenience sampling was used, so the findings may not represent the whole population
- The study was carried out over [period]
- Findings depend on the accuracy of the respondents' answers
Sample paragraph
The study followed a descriptive research design. The population comprised users of UPI payment apps in [your area]. A sample of [number] respondents was selected using convenience sampling. Primary data was collected through a structured questionnaire of [number] questions administered as an online form during [month and year]. Secondary data was drawn from journals, reports and websites listed in the bibliography. The data was analysed using percentage analysis and presented in tables and charts.
Common mistakes
- Definitions of research copied from a textbook, with nothing about your own study
- "Random sampling" written for a convenience sample
- A sample size that does not match the totals in the analysis tables
- Tools listed that never appear in the analysis
- No limitations
For the terms themselves, a standard textbook is C. R. Kothari's Research Methodology: Methods and Techniques; cite the edition you read. Where this chapter sits among the others is shown in the BMS Project Report Format guide, and BlackBook's project report maker writes it for your topic with the sample details left for you to fill from your own survey.
Frequently asked questions
What is the difference between research methodology and research methods?
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Methods are the techniques used: a questionnaire, an interview, a ratio. Methodology is the overall plan and the reasoning behind it: why this design, this sample and these tools suit your objectives.
Which research design do most undergraduate projects use?
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Descriptive research, because most projects describe the awareness, behaviour or satisfaction of a group at one point in time. State it and say why it fits your objectives.
Which sampling method should I write?
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The one you actually used. If you surveyed whoever you could reach, such as classmates and neighbours, that is convenience sampling, a non-probability method. Do not write "random sampling" unless every member of the population had an equal chance of selection.
What is the difference between primary and secondary data?
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Primary data is collected first-hand by you for this study, through a questionnaire, interview or observation. Secondary data already exists: books, journals, annual reports, government publications and websites.
Does every project need a hypothesis?
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No. Many colleges ask for one or two, and analytical studies need them. A purely descriptive study can be built on objectives alone. Check what your department expects.
Written by
Vivek Singh
Founder of BlackBook
University of Mumbai graduate and software engineer. He built BlackBook so students can put their time into studies and exams, not months of formatting. More about BlackBook
Tools for your final year project
- AI Blackbook MakerEvery chapter, diagram and front-matter page, generated from your project details.
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- Blackbook formatFonts, margins, numbering and page order in one checklist.
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