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Investigating Society ยป Research Design: From Topic to Pilot Study

What you'll learn this session

Study time: 30 minutes

Cambridge spec: 1.3.1

  • The seven stages of research design, in order
  • The difference between an aim and a hypothesis
  • How to turn an idea into something you can measure (operationalisation)
  • Why a pilot study is run before the main research, and what it fixes

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Why research needs a design

Like planning a journey, a research design decides where you're going and how before you set off

Like planning a journey, a research design decides where you're going and how before you set off

Good research does not begin with handing out questionnaires. A sociologist first makes a plan, called the research design. Think of it like planning a journey: you decide where you are going, who is coming and how you will travel before you set off. If you skip the plan, you can waste weeks collecting evidence that cannot answer your question.

The syllabus lists seven stages. You will follow one made-up project through all of them: a researcher called Dr Mehra studying teenagers and the public library in a made-up town called Karlton.

Key terms:

  • Research design: the plan for an investigation, made up of stages from choosing a topic to testing the methods.
  • Aim: a general statement of what the research is trying to find out.
  • Target population: the whole group of people the research is about.
  • Operationalisation: turning an idea into something that can be measured, such as a question or an indicator.
  • Indicator: something you can observe or count that stands for an idea.
  • Pilot study: a small trial run of the research before the main study.

Stage 1: selection of topic

The researcher chooses the area of social life to study. Topics come from many places: something in the news, a gap in earlier research, a social problem, or the researcher's own interest. A topic should be interesting, useful and possible to research.

Dr Mehra notices that her local library is quiet in the afternoons. Her topic is: how teenagers use the public library.

Stage 2: aims

An aim says what the researcher wants to find out. It is broad and it is written as a purpose, not a prediction. A study may have one main aim and one or two smaller ones.

Dr Mehra's aim: to find out how often 14 to 16 year olds in Karlton use the public library, and why.

Stage 3: hypothesis

A hypothesis is a testable prediction about the relationship between two or more things. Evidence can then show it to be true or false. Positivists, who want to test ideas like scientists, tend to use hypotheses. Interpretivists often use only aims, because they want to explore people's meanings rather than test a prediction.

🎯 Aim

A general purpose: what the researcher wants to find out. It does not say what the result will be. Example: to find out why teenagers use the library.

🔮 Hypothesis

A specific prediction that can be tested and shown to be right or wrong. Example: teenagers who live near the library visit it more often than teenagers who live far away.

Notice that "teenagers who live near the library visit it more often" can be checked against evidence. "To find out why teenagers use the library" cannot be marked right or wrong, so it is an aim.

Stage 4: target population

The target population is everyone the researcher wants to say something about. It must be defined clearly, using age, place or another feature. Dr Mehra's target population is all 14 to 16 year olds living in Karlton. It is usually too big to study everyone, so she will later choose a smaller group from it. How she does that is covered in Sampling Frames and Sampling Techniques.

Stage 5: methods

Next the researcher decides how to collect the evidence. She chooses between methods such as questionnaires, interviews and observation, and between primary and secondary data. The choice depends on the aim, the target population and the type of data she wants. Dr Mehra decides to use a questionnaire to get numbers about visits, and a few short interviews to learn the reasons behind them. Each method is covered in detail in later lessons.

Stage 6: operationalisation

Ideas such as "library use" or "living near" are not measurable as they stand. Does "use" mean borrowing books, doing homework or meeting friends? Operationalisation means turning an idea into a clear, measurable question or indicator, so that everyone understands it in the same way.

Idea in the hypothesisOperationalised as
Uses the libraryNumber of visits in the last four weeks
Lives near the libraryHome is less than 1 km from the library
Lives far awayHome is 3 km or more from the library

Now the questionnaire can ask: "In the last four weeks, how many times did you visit Karlton Library?" Everybody answers the same question, and the answers are numbers that can be compared.

Stage 7: pilot study

A pilot study is a small trial run that tests the research tools - not the hypothesis - before the real study

A pilot study is a small trial run that tests the research tools - not the hypothesis - before the real study

A pilot study is a small trial run of the research with a few people from the target population, done before the real study. The pilot tests the research tools, not the hypothesis.

🧪 Why do a pilot?

To find problems early, when they are cheap and easy to fix, rather than after hundreds of people have answered a faulty questionnaire.

🔧 What it can fix

Confusing or leading questions, answer options that overlap, instructions that are unclear, a questionnaire that takes too long, and worries about how people react.

Dr Mehra tries her questionnaire on 10 teenagers. She finds that one question, "Do you use the library often?", means different things to different people. One student thinks "often" is once a week and another thinks it is once a year. She replaces it with the question about visits in the last four weeks. She also finds that the questionnaire takes 25 minutes, so she cuts it down. After the changes she can start the main study with more confidence.

The whole design on one page

  • Topic: teenagers and the public library
  • Aim: to find out how often 14 to 16 year olds use the library and why
  • Hypothesis: teenagers who live near the library visit it more often than those who live far away
  • Target population: all 14 to 16 year olds living in Karlton
  • Methods: a questionnaire and a few short interviews
  • Operationalisation: "use" = visits in the last four weeks; "near" = under 1 km
  • Pilot study: 10 teenagers try the questionnaire and the wording is fixed

Common mistakes

Writing an aim and calling it a hypothesis: a hypothesis must be a prediction that can be tested. Saying a pilot study "tests the hypothesis": it tests the methods and tools. Using vague words such as "often" or "popular" without saying how they will be measured. Mixing up the target population (everyone) with the sample (the smaller group actually studied).

Exam-style question

A researcher plans to investigate whether students who have a part-time job get less sleep on school nights than students who do not.

(a) Define the term hypothesis. [2 marks]

(b) Identify two things a pilot study could help the researcher to check. [2 marks]

(c) Explain one strength and one limitation of carrying out a pilot study before the main research. [4 marks]

Model answer

(a) A hypothesis is a prediction (1) about the relationship between two things that can be tested using evidence (1).

(b) Whether the questions are clear and easy to understand (1). How long the questionnaire takes to complete (1). (Also accept: whether answer options are suitable, or whether the instructions make sense.)

(c) Strength: a pilot study lets the researcher find problems such as confusing questions (1) and fix them before the main study, so the real data is more accurate and time and money are not wasted (1). Limitation: a pilot uses only a few people, so it may not reveal every problem (1), and it adds extra time and cost to the research before the main study can begin (1).

Exam tip

In part (c), label your two points "strength" and "limitation", and for each one add a short reason: say what the pilot does and why that helps or hinders the research.

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