1.3 Non-random sampling

Cards (6)

  • In quota sampling, an interviewer or researcher selects a sample that reflects the characteristics of the whole population.
  • Opportunity sampling consists of taking the sample from people who are available at the time the study is carried out and who fit the criteria you are looking for.
  • Advantages of quota sampling
    • Allows a small sample to still be representative of the population
    • No sampling frame required
    • Quick, easy and inexpensive
    • Allows for easy comparison between different groups within a population
  • Disadvantages of quota sampling
    • Non random sampling can introduce bias
    • Population must be divided into groups, which can be costly or inaccurate
    • Increasing scope of study increases number of groups, which adds time and expense
    • Non responses are not recorded as such
  • Advantages of opportunity sampling
    • Easy to carry out
    • Inexpensive
  • Disadvantages of opportunity sampling
    • Unlikely to provide a representative sample
    • Highly dependant on individual researcher