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Non-Probability Sampling Methods
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Non-Probability Sampling Methods

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Questions and Answers

What is the main focus of optimum allocation in sampling?

  • Optimization of costs only
  • Optimization of both precision and costs (correct)
  • Optimization of sample size
  • Optimization of precision only
  • Which sampling method is a further development of the principle of cluster sampling?

  • Stratified Sampling
  • Simple Random Sampling
  • Systematic Sampling
  • 5-Stage Sampling (correct)
  • What is the advantage of using multi-stage sampling?

  • It is more time-consuming
  • It is more complex
  • It is less time-consuming and less expensive (correct)
  • It is more expensive
  • What is introduced in multi-stage sampling due to the unequal size of some of the selected sub-samples?

    <p>Element sample bias</p> Signup and view all the answers

    What is the key distinguishing feature between probability and non-probability sampling methods?

    <p>Mechanics used in the sample design</p> Signup and view all the answers

    Which of the following is an example of non-probability sampling method?

    <p>Multi Stage Sampling in this context</p> Signup and view all the answers

    What is the purpose of using 5-stage sampling in large-scale surveys?

    <p>To make the sample more comprehensive</p> Signup and view all the answers

    What is the first step in the example of 5-stage sampling given in the text?

    <p>Selecting a sample of regional states</p> Signup and view all the answers

    How many zones were selected randomly in the example given in the text?

    <p>15</p> Signup and view all the answers

    How many teachers were selected randomly in the final stage of the example given in the text?

    <p>650</p> Signup and view all the answers

    Study Notes

    Non-Probability Sampling Methods

    • Non-probability sampling methods do not rely on probability to select a sample from the population.
    • There are four types of non-probability sampling methods:
      • Convenience Sampling
      • Judgment Sampling
      • Referral Sampling
      • Quota Sampling

    Convenience Sampling

    • Convenience samples are drawn at the convenience of the interviewer.
    • The most convenient areas to a researcher are often "high traffic" areas such as shopping or busy pedestrian areas.
    • The selection of the place and prospective respondents is subjective rather than objective.
    • Certain members of the population are automatically eliminated from the sampling process.

    Judgment Sampling

    • Judgment samples require the judgment or an "educated guess" as who should represent the population.
    • Often, the researcher or an individual with knowledge about the population chooses those individuals they feel constitute the sample.
    • Judgment sampling is often used in focus group studies.

    Referral Sampling

    • Referral sampling, also known as "snow ball samples", requires respondents to provide the names of additional respondents.
    • The sample list begins with a short list of sample units that is smaller than the total sample desired.
    • Referral sampling is most appropriate when there is a limited and disappointingly short sample frame and when respondents can provide the names of others who would qualify for the survey.

    Quota Sampling

    • Quota sampling establishes a specific quota for various types of individuals to be interviewed.
    • The quotas are determined through the application of the research objectives and are defined by key characteristics used to identify the population.
    • A field worker is provided with screening criteria that classify the potential respondent into a particular quota cell.

    Strengths and Weaknesses of Sampling Methods

    • Developing a sample plan involves a logical sequence of steps to draw and ultimately arrive at the final sample.
    • The sample plan may focus on optimizing costs, precision, or both precision and costs.

    5-Stage (Multi Stage) Sampling

    • 5-stage sampling is a further development of the principle of cluster sampling.
    • It is used in large-scale surveys for a more comprehensive investigation.
    • The researcher may use two, three, or four stage sampling, depending on the complexity of the study.
    • Multi-stage sampling is comparatively convenient, less time-consuming, and less expensive, but may introduce element sample bias due to the unequal size of some of the selected sub-samples.

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    Related Documents

    CHAPTER FOUR.docx

    Description

    Learn about different types of non-probability sampling methods, including convenience, judgment, referral, and quota sampling. Understand the characteristics and examples of each method.

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