Sampling

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1. entire population is divided into groups before a random sample of these is collected e.g. geographically

  • Random sampling
  • Cluster sampling
  • Stratified sampling
  • Spatial sampling
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2. a strength of quota sampling is that

  • it can be costly
  • it is representative
  • it is quick and easy
  • it is readily available

3. an advantage of cluster sampling is that

  • it is expensive
  • is is very time consuming
  • it is quick and easy
  • its readily available

4. aims to obtaina representative sample of the overall population by dividing them using variables such as age and gender

  • Quota sampling
  • Random sampling
  • Systematic sampling
  • Sratified sampling

5. a disadvantage of random sampling is that

  • it has a high risk of sampling error
  • you need a complete and accurate population listing
  • it is prone to bias
  • it is time consuming

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