Sampling Techniques

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Opportunity Sampling

  • No sampling frame needed
  • Participants are those who are available at the time the study is conducted e.g is passing at the time or using students who have a free period and use the canteen
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Self-Selcted Sampling

  • No sampling frame needed
  • People that are conducting the study will post an advert stating that they need participants and list the criteria that a person must meet. 
  • The participants then come forward if they meet the requirements and want to take part.
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Random Sampling

  • Every member of the target population is put into a hat or a computer software and is then selected at random.
  • Every member of the target population has an equal chance of being picked.
  • Every member of the target population, therefore, has to be identified.
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Systematic Sampling

  • Every nth person is selected from the list
  • A list of the target population is needed in order to select the participants
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Statified Sampling

  • The target population is classified into different categories e.g age, ethnicity.
  • Participants are then chosen from each category in the same proportions as they are in the target population.
  • Within each strata, the participants are then randomly selected.
  • The sample should represent the demographics of the population.
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Quota Sampling

  • The target population is classified into different categories e.g age, ethnicity.
  • Participants are then chosen from each category in the same proportions as they are in the target population.
  • Participants picked by researchers- opportunity based
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Snowball Sampling

  • This technique is used when it is difficult to access and contact the target population
  • The researcher uses personal contacts to find someone who is part of the target population. They then ask the person if they know anyone who fits the target population and asks to be put in contact with them.
  • This occurs again and again until the sample grows to meet the required sample size
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