• Created by: holly6901
  • Created on: 06-11-19 10:11
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  • Sampling
    • Systematic sampling
      • Random technique
      • Involves choosing a random number between 1 and 10 and selecting those participants e.g. every third participant
      • Simple to understand and easy to execute
      • Bigger risk of data manipulation
    • Stratified sampling
      • Random technique
      • The overall group is separated into smaller groups, then a systematic sample is taken
      • Can provide greater precision than a simple sample and saves money
      • Can't be used in all studies as overlapping is an issue
    • Quota sampling
      • Non-random technique
      • The researcher will approach people in the street with traits they're looking for
      • It is loaded with bias as researchers usually approach people who they believe will co-operate
      • Easy and quick
    • Purposive sampling
      • Non-random technique
      • The researcher will seek out specific groups to partake
      • They mean the data is generalisable
      • They are highly prone to researcher bias
    • Opportunity sampling
      • Non-random technique
      • It involves researchers making the most of events that'll attract the research groups e.g. a Star Trek convention
      • There's a chance of them not being representative
      • A quick way of choosing participants
    • Snowball sampling
      • Non-random technique
      • Used to access a deviant or criminal group
      • Uses participants knowledge of other people
      • Cheap and uses less planning
      • The sample willing to co-operate may not be representative, especially when the group is involved in deviant or criminal activity


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