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Sampling (Types (Convenience sampling (Disadvantage (The sample is not…

- - - - The sample is not representative of the entire population, so results can't speak for them - inferences are limited. future data
      - Prone to volunteer bias
    - - Large amounts of information can be gathered quickly
      - Subjects are readily available
  - - - Good for providing illustrative examples or case studies
    - - Very prone to bias
      - Samples often small
      - Cannot extrapolate from sample
  - - - Doesn't need complete population information
      - Good for face-to-face surveys
      - Quick and easy
    - - Expensive if the clusters are large
      - Greater risk of sampling error
  - - - Quick and easy way of obtaining a sample
    - - Not random, so some risk of bias
      - Need to understand the population to be able to identify the basis of stratification
  - - - Simple to design and interpret
      - Can calculate both estimate of the population and sampling error
    - - Need a complete and accurate population listing
      - May not be practical if the sample requires lots of small visits over the country
  - - - Easier to extract the sample than via simple random
      - Ensures sample is spread across the population
    - - Can be costly and time-consuming if the sample is not conveniently located