Scenario

A sociology student called Erin is planning a research project on how students experience pressure around exams and achievement in sixth form. Before choosing a method, she begins by thinking carefully about research design. She knows that research design is not just about picking a method at random. Instead, it involves making decisions about the aims of the study, the kind of data needed, the sample, practical issues, ethical concerns and the strengths and limitations of different approaches. Erin wants to understand both the broad patterns in student experience and the meanings students attach to those experiences.

At first, Erin considers using a quantitative method, such as a self-completion questionnaire. She likes the idea that a questionnaire could be given to a large number of students across several sixth forms. This would allow her to collect data quickly and compare responses easily. She could ask closed questions about how often students feel stressed, how many hours they revise each week, whether they feel supported by teachers, and whether they worry about university or future employment. Because the same questions would be asked in the same way, the results could be turned into statistics and shown in graphs or tables. Erin realises this would help her identify patterns and trends, and may make the study more reliable and easier to compare across groups.

However, Erin also worries that quantitative data might be too limited for her aims. A questionnaire could tell her how many students say they feel stressed, but it might not reveal what stress actually means to them or how they explain it. For this reason, she also considers a qualitative method, such as unstructured interviews. Interviews would allow students to talk in detail about pressure from school, parents, peers and future ambitions. She could ask follow-up questions, explore contradictions and gain insight into how different students interpret their experiences. Erin thinks this might produce more valid data because students could explain their feelings and experiences in their own words.

As she develops her research design, Erin begins to see that each approach has advantages and disadvantages. Quantitative methods may be useful for identifying patterns across a larger sample, but they may lack depth. Qualitative methods may provide rich, detailed data, but they are more time-consuming, often based on smaller samples, and harder to compare systematically. Erin also considers practical issues such as time, cost and access. It would be easier to distribute a questionnaire during tutor time, while arranging interviews would require more time and school cooperation. Ethical issues matter too. Students might be more willing to disclose sensitive feelings anonymously in a questionnaire, but interviews might allow distress to be identified and handled more sensitively.

In the end, Erin thinks the best research design may depend on the exact aim of the study. If she wants to measure the scale of exam pressure, a quantitative approach may be more suitable. If she wants to understand the meanings students attach to that pressure, a qualitative approach may be stronger. She even begins to wonder whether a mixed-methods design would work best: starting with a questionnaire to identify patterns, then following up with interviews to explore them in more depth. From a sociological point of view, Erin’s planning shows that research design involves linking aims, methods, sampling, practical issues and ethics together rather than treating them as separate decisions.