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Key Concepts and Theories of Research

Generalisability

  • 3 things to know
  • Component 2

Overview

Theoretical generalisation and confidence interval, in plain terms.

What you need to know

Answer each one before you reveal it.

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Key term

What does generalisability mean?

Key term

What must be true of a sample before findings can be generalised?

Key term

Distinguish generalisability from representativeness.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What does generalisability mean?

    Model answer

    Generalisability is the extent to which findings from a sample can be applied to a wider population. A generalisable result holds beyond the people studied.

  2. 2

    What must be true of a sample before findings can be generalised?

    Model answer

    The sample must be representative of the population and large enough for chance variation to be small. The selection method must also give known probabilities.

  3. 3

    Distinguish generalisability from representativeness.

    Model answer

    Representativeness describes how closely the sample resembles the population. Generalisability is the conclusion that resemblance allows a researcher to draw.

  4. 4

    Why can ethnographic findings rarely be generalised?

    Model answer

    Ethnography studies one small group in one setting chosen for access rather than typicality. The findings support no claim about a population.

  5. 5

    What is theoretical generalisation?

    Model answer

    Theoretical generalisation carries an idea or a process from one case to others rather than a statistic. Willis produced such an account of counter-school culture in 1977, and it has been applied far beyond Hammertown.

  6. 6

    Why do interpretivists defend the value of ungeneralisable research?

    Model answer

    Interpretivists argue that a detailed case can reveal processes a survey cannot see. Understanding rather than estimation is the aim.

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