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Research Methods

Sampling methods

  • 3 things to know
  • Papers 1 and 2

Overview

Target populations, random, stratified, volunteer and opportunity sampling with their strengths and weaknesses, stratified sample calculations, and sampling bias.

What you need to know

Answer each one before you reveal it.

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Key term

What is a target population?

Key term

Why do researchers usually study a sample rather than the whole target population?

Key term

How is a random sample selected?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is a target population?

    Model answer

    A target population is the whole group of people a researcher wants the findings to apply to. A sample is selected from the target population.

  2. 2

    Why do researchers usually study a sample rather than the whole target population?

    Model answer

    A target population is usually too large for everyone to be tested. A representative sample allows the findings to be generalised to the whole group.

  3. 3

    How is a random sample selected?

    Model answer

    Every member of the target population has an equal chance of being chosen. Names can be drawn from a hat or picked by a computer.

  4. 4

    Give one strength and one weakness of random sampling.

    Model answer

    Random sampling avoids researcher bias because the researcher does not choose who takes part. A random sample may still be unrepresentative by chance, and a full list of the population is needed.

  5. 5

    What is stratified sampling?

    Model answer

    Stratified sampling divides the target population into subgroups, such as age groups. Participants are then picked randomly from each subgroup in proportion to its size in the population.

  6. 6

    A school has 800 students: 480 girls and 320 boys. How many of each should a stratified sample of 40 contain?

    Model answer

    The sample should contain 24 girls and 16 boys. Girls make up 480 ÷ 800 = 60% of the school, and 60% of 40 is 24.

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