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Planning and Conducting Research

Target populations, random and opportunity sampling

  • 3 things to know
  • Component 01

Overview

Recall questions on target populations, samples, representativeness and sampling bias, and how random and opportunity samples are drawn, with the strengths and weaknesses of each technique.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Evaluation

Why does research use samples rather than whole populations?

Evaluation

Give two weaknesses of random sampling.

Key term

What is a target population?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is a target population?

    Model answer

    The entire group sharing a defined characteristic about which the researcher wishes to draw conclusions.

  2. 2

    What is a sample?

    Model answer

    The smaller group drawn from the target population who actually take part in the study.

  3. 3

    Why does research use samples rather than whole populations?

    Model answer

    Testing an entire population is almost always far too costly and time-consuming to be practical.

  4. 4

    What is meant by a representative sample?

    Model answer

    One whose characteristics closely mirror those of the target population, so that findings can be generalised back to it.

  5. 5

    What is sampling bias?

    Model answer

    Where the method of selection means certain groups are over-represented or under-represented, so the sample does not reflect the population.

  6. 6

    Describe random sampling.

    Model answer

    Every member of the target population has an equal chance of selection, for example by drawing names from a complete list using a random number generator.

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