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Personal Investigations and Novel Research Scenarios

Personal investigations: applying research methods to first-hand investigations — Sampling

  • 3 things to know
  • Component 2

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Recall questions on Personal investigations: applying research methods to first-hand investigations — Sampling.

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Key term

Name three things that should be standardised in your own experiment.

Key term

Which sampling method is usually used for a school-based investigation, and why?

Key term

How does your sample limit the conclusions you can draw?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Name three things that should be standardised in your own experiment.

    Model answer

    The instructions given to participants, the materials and timings used, and the physical conditions in which the study is run.

  2. 2

    Why is it worth running a pilot study before your own investigation?

    Model answer

    Because a small trial run reveals unclear instructions, faulty materials or an unworkable timing before the real data are collected, when they can still be changed.

  3. 3

    Which sampling method is usually used for a school-based investigation, and why?

    Model answer

    Opportunity sampling is usually used, because it draws on whoever is available and willing, which is quick and practical within a school.

  4. 4

    State one strength and one limitation of using an opportunity sample in your own investigation.

    Model answer

    It is fast and convenient to obtain, but it is likely to be unrepresentative because everyone comes from a narrow age range and setting.

  5. 5

    How does your sample limit the conclusions you can draw?

    Model answer

    A small sample of similar students cannot be assumed to represent the wider population, so the findings should be generalised only with caution.

  6. 6

    Which descriptive statistics should be reported from your own two-condition experiment?

    Model answer

    A measure of central tendency such as the mean for each condition, together with a measure of dispersion such as the standard deviation.

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