Types of Sampling
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Questions and Answers

Which of the following is a type of non-probability sampling?

  • Stratified Sampling
  • Snowball Sampling (correct)
  • Systematic Sampling
  • Cluster Sampling
  • Which of these sampling methods involves dividing the population into subgroups and randomly selecting from each subgroup?

  • Convenience Sampling
  • Snowball Sampling
  • Stratified Sampling (correct)
  • Quota Sampling
  • Which sampling method is most likely to involve selecting participants who are readily available?

  • Snowball Sampling
  • Simple Random Sampling
  • Systematic Sampling
  • Convenience Sampling (correct)
  • Which of the following is NOT a type of probability sampling?

    <p>Convenience Sampling</p> Signup and view all the answers

    Which sampling method uses a random start point and then selects every nth individual?

    <p>Systematic Sampling</p> Signup and view all the answers

    Study Notes

    Types of Sampling

    • There are two main types of sampling: non-probability sampling and probability sampling

    Non-Probability Sampling

    • Snowball sampling: a technique where existing subjects refer the researcher to additional subjects
    • Convenience sampling: involves selecting participants based on their availability and ease of access
    • Quota sampling: a non-probability sampling method where participants are selected based on predetermined characteristics

    Probability Sampling

    • Simple random sampling: every member of the population has an equal chance of being selected
    • Systematic sampling: involves selecting every 'nth' member of the population
    • Stratified sampling: involves dividing the population into subgroups and selecting participants from each subgroup
    • Cluster sampling: involves dividing the population into smaller groups or clusters and selecting participants from each cluster

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    Description

    Identify and understand the different types of sampling methods, including non-probability and probability sampling techniques.

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