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Social Psychology

Sampling techniques

  • 3 things to know
  • Papers 1 and 3

Overview

Recall questions on random, stratified, volunteer and opportunity sampling, and the strengths and weaknesses of each for representativeness.

What you need to know

Answer each one before you reveal it.

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Study

What is random sampling?

Key term

What prior information does a researcher need before using stratified sampling?

Key term

In stratified sampling, what is the first step a researcher must complete?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is random sampling?

    Model answer

    A technique where every member of the target population has an equal chance of being selected for the study.

  2. 2

    In stratified sampling, what is the first step a researcher must complete?

    Model answer

    Identify relevant subgroups in the population based on shared characteristics.

  3. 3

    After identifying subgroups in stratified sampling, what must the researcher determine before selecting participants?

    Model answer

    The proportion of each subgroup within the target population.

  4. 4

    What is volunteer sampling?

    Model answer

    A technique where participants self-select to take part in research, typically by responding to an advertisement or request.

  5. 5

    Define opportunity sampling.

    Model answer

    Selecting participants who are readily available and willing to take part at the time and place of the research.

  6. 6

    Why does random sampling reduce researcher bias?

    Model answer

    Because the researcher has no control over who is selected—every member of the target population has an equal chance of selection.

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