1. Identify and Define the Problem
Everything starts with a doubt, a gap, or a curiosity.
You refine it into a clear research problem or question.
Example: “How is AI changing student learning in Arts and Science colleges?”
2. Review of Literature
You explore what experts already discovered.
Books, journals, government reports, archived data… you dig in.
This step helps you sharpen your ideas and avoid repetition.
3. Set Objectives and Form Hypotheses
You decide what exactly you are going to achieve.
Hypotheses are predictions that can be tested scientifically.
Example: “Students have a positive perception of AI in learning.”
4. Research Design
This is your master plan.
You choose the type of research: descriptive, exploratory, causal etc.
5. Selecting Research Methods
Pick your tools of data collection: surveys, interviews, observation, experiments etc.
This is where you think practically.
6. Sampling Design
You cannot study everyone.
So you decide whom to select, how many, and how:
random sampling, stratified sampling, convenience sampling etc.
7. Data Collection
Get into the field.
Collect primary data (fresh data) or secondary data (already available data).
Consistency and accuracy matter big-time here.
8. Data Processing and Analysis
You organize data into tables, graphs, charts.
Then apply:
• statistical tools for quantitative studies
• thematic coding for qualitative studies
This is where the story hidden inside numbers and words comes alive.
9. Interpretation of Results
Explain what the findings actually mean.
Do they support your hypotheses?
How do they relate to earlier studies?
10. Report Writing and Presentation
You write a structured research report:
introduction, methodology, findings, conclusions, suggestions, references.
This is your final voice, confident and complete.
11. Verification and Follow-up (Optional but smart)
Your study might inspire new questions or lead to further projects.
Research is never truly “done.” It evolves.
A Simple Memory Trick
Here’s a fun way to remember the flow:
Think – Read – Plan – Collect – Analyze – Explain – Share
A Tiny Example Snapshot
Topic: Consumer preference towards electric vehicles in Chennai
| Stage | What happens | Example |
|---|---|---|
| Problem | What do you want to discover | Why are people buying EVs? |
| Literature Review | Read past studies | Academic journals on EV adoption |
| Objectives | Specify purpose | To study awareness and barriers |
| Design | Type | Descriptive research |
| Methods | Tools | Survey + Interview |
| Sampling | Whom to ask | 200 EV users in Chennai |
| Data | Raw facts | Survey responses |
| Analysis | Process | SPSS statistical tests |
| Interpretation | Meaning | Awareness is high, price is barrier |
| Report | Present | Full dissertation or paper |
Research Design
Picture this as the blueprint of your entire study.
It answers: How am I going to conduct this research from start to finish?
It includes decisions about:
• What type of study is this? (descriptive, exploratory, experimental etc.)
• Who or what am I studying? (population, sample)
• How will I collect data? (survey, interview, observation etc.)
• How will I analyze the data? (statistical methods, thematic analysis etc.)
Basically, research design is your master plan.
Research Method
This is about the specific tools or techniques you choose for data collection.
For example:
• Surveys
• Interviews
• Case studies
• Experiments
• Focus groups
• Observation
Research methods are the “doing part” of your design.
Research Methodology
This goes one layer deeper.
It explains the philosophy and reasoning behind your choices.
It answers:
• Why did I choose this method?
• How does this approach help me answer my research questions?
• What is the underlying worldview? (positivism, interpretivism etc.)
Methodology justifies your entire process.
It shows that your approach is logical, credible, and academically sound.
In a Nutshell
| Concept | What it means | Metaphor |
|---|---|---|
| Research Design | The structured plan for the entire study | Architectural blueprint |
| Research Method | The specific techniques used to collect data | Construction tools |
| Research Methodology | The logic and philosophy guiding the chosen methods | Engineering principles behind the design |
Quick Example to Lock It In
Topic: Student perceptions of AI in education
| Term | Example |
|---|---|
| Research Design | Descriptive research using a mixed-method approach |
| Research Method | Questionnaire + Semi-structured interviews |
| Research Methodology | Combination of positivism (for quant) and interpretivism (for qual) |
Whenever someone mixes these terms, just remember:
Design is the plan.
Methods are the actions.
Methodology is the reasoning
With Regards.,
Dr Anthony Rahul Golden S
M.Com., M.Phil., NET., Ph.D., MBA.,SET., NET., M.A., M.Sc. (Psy)., M.A., PGDBA.,
Asst. Professor of Commerce., Loyola College (Autonomous), Chennai - 34
Mobile No- 91+9176313545
https://yesrahul.blogspot.com/
https://orcid.org/0000-0001-
8071-4801 https://vidwan.inflibnet.ac.
in/profile/339311 https://www.researchgate.net/
https://scholar.google.com/profile/Anthony-Golden-S citations?hl=en&user=faw7X- UAAAAJ
Anthony Rahul Golden, S. - Author details - Scopus Preview
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