Sampling Methods

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  • Sampling
    • Random Sampling 
      • WEAKNESS: a large sample is needed. not Representative
      • STRENGTH: everyone stands an equal chance in being selected, easy for large populations.
      • like picking a name out of a hat.
    • Snowball Sampling
      • STRENGTH: useful for researching hard to contact groups
      • WEAKNESS: very time consuming so only small samples are used, not representative
      • a small group asked to suggest further names and so on.
    • Stratified Sampling
      • WEAKNESS: it is more time consuming, need sampling frame (list of everyone)
      • STRENGTH: the sample will be representative and give the point of view of all different groups 
      • making the selection in proportion to the total population.
    • Systematic Sampling 
      • WEAKNESS: only the people on the register stand a chance of being selected
      • STRENGTH: the participants will be a cross section of the population so hopefully will be represensitive
      • example: every 10th name on list.
    • Quota Sample
      • STRENGTH: it is quick and easy to select the right sort of people for it
      • WEAKNESS: research is likely to be biased as the researcher has chosen the participents
      • like stratified sampling but more bias. based on target age, gender ect.

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