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Applied Research

Sampling techniques and representativeness

  • 3 things to know
  • A2 1

Overview

Target population in a piece of research, term sample and sampling frame.

What you need to know

Answer each one before you reveal it.

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Key term

What is the key difference between stratified sampling and quota sampling?

Key term

Define the target population in a piece of research.

Key term

Define the term sample.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Define the target population in a piece of research.

    Model answer

    The target population is the whole group the researcher wants the findings to apply to.

  2. 2

    Define the term sample.

    Model answer

    A sample is the smaller group of participants actually drawn from the target population and studied.

  3. 3

    What is a sampling frame?

    Model answer

    A sampling frame is the list of everyone in the target population from which a sample can be drawn.

  4. 4

    Explain random sampling.

    Model answer

    Random sampling gives every member of the sampling frame an equal chance of selection, usually by drawing names or numbers at random.

  5. 5

    Give one strength and one weakness of random sampling.

    Model answer

    Random sampling removes the researcher's own choice and so avoids selection bias, but it needs a complete list of the population, which rarely exists.

  6. 6

    Explain stratified sampling.

    Model answer

    Stratified sampling divides the population into layers such as age bands and then selects randomly within each layer in proportion to its share of the population.

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