Research methodology is the “blueprint” of any academic or professional inquiry. It is the difference between a collection of random opinions and a scientifically valid conclusion. Whether you are a student preparing for your final undergraduate project or a postgraduate researcher designing a complex thesis, mastering Research Methods is essential. It provides the tools to ask the right questions, select the correct participants, and analyze data without bias.
Below is the exam paper download link
SMS-3356-SMA-3356-RESEARCH-METHODOLOGYRESEARCH-METHODS
Above is the exam paper download link
To help you move from theory to practice, we have compiled a focused revision guide based on the core pillars of the research process frequently tested in examinations.
What is the difference between ‘Qualitative’ and ‘Quantitative’ Research?
This is the most fundamental divide in research.
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Quantitative Research focuses on numbers, logic, and an objective stance. It uses tools like surveys and experiments to test hypotheses and generalize results to a larger population.
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Qualitative Research is about “meaning” and “experience.” It uses open-ended interviews, focus groups, and observations to explore why people behave the way they do. In an exam, you might be asked to justify why you chose one over the other for a specific study.
How do we define a ‘Research Problem’?
A research problem is not just a topic; it is a specific “gap” in existing knowledge. It is the “Why” behind your study. A well-defined problem must be SMART: Specific, Measurable, Achievable, Relevant, and Time-bound. If your problem statement is too broad, your research will lack focus and your data will be impossible to analyze.
What is the purpose of a ‘Literature Review’?
A literature review is not a summary of everything ever written on a topic. Its purpose is to show the examiner that you understand the current state of the field. It helps you identify what has already been proven, where previous researchers disagreed, and where your own study fits into the larger academic conversation. It prevents you from “reinventing the wheel.”
Can you explain ‘Sampling Techniques’?
Since you cannot study everyone, you must select a representative group.
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Probability Sampling: Every member has a known chance of being selected (e.g., Simple Random Sampling or Stratified Sampling). This allows for statistical generalization.
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Non-Probability Sampling: Selection is based on convenience or specific criteria (e.g., Purposive or Snowball Sampling). This is common in qualitative research where you need specific “expert” insights rather than a general average.
What are ‘Validity’ and ‘Reliability’?
These two concepts are the “quality control” of research.
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Reliability refers to consistency. If you repeated the same study under the same conditions, would you get the same results?
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Validity refers to accuracy. Are you actually measuring what you claim to be measuring? A scale that is consistently 2kg off is reliable (consistent) but not valid (accurate).
Why are ‘Ethical Considerations’ mandatory?
Research involves people, and people must be protected. In any research methodology paper, you will likely encounter questions about Informed Consent, Anonymity, and Confidentiality. Researchers have a moral and professional obligation to ensure that participants are not harmed—physically, psychologically, or legally—by taking part in a study.
What is the difference between ‘Primary’ and ‘Secondary’ Data?
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Primary Data: Information you collect firsthand for your specific research (e.g., your own surveys or experiments).
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Secondary Data: Information that already exists (e.g., government census data, journal articles, or company records). While secondary data is cheaper and faster to get, primary data is often more relevant to your specific research question.
Conclusion
Research Methodology is about the logic of discovery. It requires a disciplined mind that values evidence over intuition. By practicing with past papers, you learn to identify the “methodological traps” that examiners set and develop the ability to defend your research choices with confidence.
To help you refine your proposal writing and data analysis skills, we have provided a link to a comprehensive revision resource below.
Last updated on: March 24, 2026