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Non-Probability Sampling Methods
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Non-Probability Sampling Methods

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Questions and Answers

Which type of sampling does not require a complete survey frame?

  • Convenience sampling (correct)
  • Stratified sampling
  • Cluster sampling
  • Systematic sampling
  • What is the main challenge associated with non-probability sampling?

  • Inability to estimate sampling variability
  • Difficulty of assessing participation bias
  • Lack of official statistical agency support
  • No assurance of random inclusion of elements (correct)
  • Which sampling method is a fast, easy, and inexpensive way of obtaining data?

  • Probability sampling
  • Non-probability sampling
  • Convenience sampling (correct)
  • Systematic sampling
  • What is the preferred tool used by official statistical agencies to meet information needs about a population of interest?

    <p>Probability sampling</p> Signup and view all the answers

    What does non-probability sampling assume about the sample?

    <p>It is representative of the population</p> Signup and view all the answers

    What type of sampling method is a subjective (i.e. non-random) method?

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

    What is the main risk associated with assuming the sample is representative in non-probability sampling?

    <p>Difficulty of assessing the assumption</p> Signup and view all the answers

    Which sampling method does not require a complete survey frame?

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

    What challenge is associated with data quality in non-probability sampling?

    <p>Potential presence of participation and selection bias</p> Signup and view all the answers

    Which type of sampling is the most common nonprobability sample?

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

    Study Notes

    • Non-probability sampling is a method of selecting units from a population using a subjective, non-random approach.
    • It is faster, easier, and less expensive than probability sampling as it does not require a complete survey frame.
    • However, drawing conclusions about the population from the sample requires the assumption that it is representative.
    • This assumption can be risky due to the difficulty of assessing its validity.
    • No way to estimate the probability of an element being included or ensure that each item has a chance of being included.
    • Convenience sampling is the most common type of non-probability sampling, where units are selected based on ease and accessibility.
    • Official statistical agencies prefer probability sampling for population information, but non-probability data may have challenges with data quality due to participation and selection bias.

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    Description

    Learn about the different non-probability sampling methods used to select units from a population. Understand the advantages and limitations of non-probability sampling and its implications for drawing conclusions about the population.

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