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Research Methods

Sampling methods

  • 3 things to know
  • Papers 1 and 2

Overview

Research populations and sampling frames, random, systematic, stratified, quota and snowball samples, representativeness and generalisability.

What you need to know

Answer each one before you reveal it.

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Key term

What makes a sample unrepresentative, and how does that affect generalisability?

Key term

What is meant by the research population?

Key term

What is a sample?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is meant by the research population?

    Model answer

    The research population is the whole group a sociologist wants to study. An example is all Year 11 pupils in England.

  2. 2

    What is a sample?

    Model answer

    A sample is a smaller group selected from the research population to take part in a study. Findings from the sample are used to draw conclusions about the whole population.

  3. 3

    What is a sampling frame? Give an example.

    Model answer

    A sampling frame is a list of everyone in the research population, from which the sample is drawn. A school register is a sampling frame for a study of its pupils.

  4. 4

    Why is it hard to find a sampling frame for a study of homeless people?

    Model answer

    Homeless people appear on no complete list, and many move often or avoid officials. A researcher may have to rely on snowball or opportunity sampling instead.

  5. 5

    What is a random sample?

    Model answer

    A random sample gives every member of the population an equal chance of being selected. A computer might pick names at random from a school roll.

  6. 6

    What is a systematic sample?

    Model answer

    A systematic sample selects every nth name from a sampling frame, such as every tenth pupil on a register. The starting point is usually chosen at random.

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