Sampling

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

  • Cluster sampling
  • Spatial sampling
  • Stratified sampling
  • Random sampling
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2. an advantage of cluster sampling is that

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

3. a strength of quota sampling is that

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

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

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

5. using stratified sampling over random sampling

  • can increase accuracy
  • requires more visits around the population
  • is simpler to design and interpret

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