Non-Probability Sampling Techniques
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What is the defining characteristic of non-probability sampling?

  • The chances of selecting members from the population are known
  • The population size is small and homogenous
  • The chances of selecting members from the population are unknown (correct)
  • Only certain members of the population have a chance of being selected

    • Which of the following is an example of a probability sampling technique?

  • Convenience sampling
  • Simple random sampling (correct)
  • Snowball sampling
  • Judgment sampling

    • What is the key characteristic of simple random sampling?

  • The probability of selection is unknown for all members
  • Only certain members of the population have a chance of being selected
  • The population is small and homogenous
  • The probability of being selected is known and equal for all members (correct)

    • Which of the following is not a method of conducting simple random sampling?

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

    What is the main advantage of simple random sampling?

    <p>It is easy to implement when an electronic database is available</p> Signup and view all the answers

    Which of the following is a feature of probability sampling?

    <p>The law of chance alone decides which individuals are selected</p> Signup and view all the answers

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

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

    What is the main difference between probability and non-probability sampling?

    <p>Probability sampling has an equal chance of selection, while non-probability sampling has an unknown chance of selection</p> Signup and view all the answers

    Which of the following is not an advantage of simple random sampling?

    <p>Allows for the selection of a small, homogenous population</p> Signup and view all the answers

    What is the first stage of sampling techniques discussed in the text?

    <p>Stage 1 Sampling techniques</p> Signup and view all the answers

    Which sampling method involves the researcher selecting 'units' based on ease of obtaining them or simple availability?

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

    What is a disadvantage of Judgment Sampling mentioned in the text?

    <p>Subjectivity enters in here</p> Signup and view all the answers

    Which sampling method is described as 'I'll do it! I'll do it!'?

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

    What type of sampling is 'Quota Sampling' classified as according to the text?

    <p>No classification is provided</p> Signup and view all the answers

    Which sampling method is described as involving 'people on the street' interviews?

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

    What is the second stage of sampling techniques discussed in the text?

    <p>Stage 2 Sampling techniques</p> Signup and view all the answers

    Which sampling method involves the use of 'students, and members of social organizations'?

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

    What is the third stage of sampling techniques discussed in the text?

    <p>Stage 3 Sampling techniques</p> Signup and view all the answers

    What is the main advantage of systematic random sampling compared to simple random sampling?

    <p>It is more efficient and less expensive</p> Signup and view all the answers

    Which of the following is NOT a disadvantage of systematic random sampling?

    <p>It can lead to over- or under-sampling in skewed population distributions</p> Signup and view all the answers

    If a systematic sample of 100 students is to be selected from a population of 1200 students, what is the sampling interval?

    <p>12</p> Signup and view all the answers

    Which of the following statements about systematic random sampling is correct?

    <p>It selects units at regular intervals after a random starting point</p> Signup and view all the answers

    What is the primary reason for using systematic random sampling over simple random sampling?

    <p>To reduce the time and cost associated with selecting the sample</p> Signup and view all the answers

    Which of the following statements about systematic random sampling is FALSE?

    <p>It overcomes the problem of skewed population distributions</p> Signup and view all the answers

    In systematic random sampling, what determines the starting point for selecting the first unit?

    <p>A random process</p> Signup and view all the answers

    Which of the following statements is true about systematic random sampling?

    <p>It is more efficient than simple random sampling for large populations</p> Signup and view all the answers

    What is the primary disadvantage of systematic random sampling compared to simple random sampling?

    <p>It can lead to biased samples in skewed population distributions</p> Signup and view all the answers

    What is the main advantage of cluster sampling over other probability sampling methods?

    <p>Consumes less time and cost</p> Signup and view all the answers

    In the context of cluster sampling, what can lead to imprecise sample results?

    <p>The more heterogeneous the cluster chosen</p> Signup and view all the answers

    Which sampling method allows for information collection from various areas and groups, making it easily implementable?

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

    What is a characteristic of multi-stage sampling?

    <p>Applicable for large scale surveys only</p> Signup and view all the answers

    What error can occur in cluster sampling due to the selection of homogeneous clusters?

    <p>Cluster specification error</p> Signup and view all the answers

    How does multi-stage sampling differ from one-stage sampling in terms of complexity?

    <p>Multi-stage sampling is more complex as it involves several stages</p> Signup and view all the answers

    Which statement about cluster sampling is false?

    <p>It involves dividing clusters into subgroups based on dissimilarity</p> Signup and view all the answers

    Which of the following is a characteristic that can be used to divide a population into stratified groups?

    <p>Age, socioeconomic divisions, nationality, religion, educational achievements</p> Signup and view all the answers

    What is the purpose of dividing a population into strata when using stratified random sampling?

    <p>All of the above</p> Signup and view all the answers

    In the example provided, what is the total population size?

    <p>326,044,985</p> Signup and view all the answers

    What is the purpose of using a stratified random sampling approach in the example provided?

    <p>All of the above</p> Signup and view all the answers

    What is the name of the sampling technique described in the last paragraph?

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

    What is the key characteristic of the cluster sampling method?

    <p>The population is divided into groups (clusters), and a random sample of clusters is selected</p> Signup and view all the answers

    What is the purpose of using cluster sampling?

    <p>To simplify the sampling process when the population is widely dispersed</p> Signup and view all the answers

    What is the relationship between the population size and the desired sample size in the example provided?

    <p>The population size is much larger than the desired sample size</p> Signup and view all the answers

    What is the purpose of using random or systematic samples of a predetermined size from each stratum in stratified random sampling?

    <p>All of the above</p> Signup and view all the answers

    Study Notes

    Sampling Methods

    • Basic Method: Requires no technical knowledge, just basic listening and recording skills.
    • Systematic Random Sampling:
      • Selecting one unit at random, then every "nth" element in succession from the sampling frame.
      • Disadvantages: Difficult to manage large populations and provide unique designations to every member.
      • Not efficient with skewed population distributions.
    • Advantages of Systematic Sampling:
      • Known and equal chance of any sampling interval being selected.
      • Efficiency: No need to designate every population member, just those early on the list.
      • Less expensive and faster than simple random sampling.

    Cluster Sampling

    • Divides the population into clusters and selects a sample from each cluster.
    • Advantages:
      • Consumes less time and cost.
      • Does not require a list of all members of the universe.
      • Ease of implementation.
    • Disadvantages: Cluster specification error (the more homogeneous the cluster, the more imprecise the sample results).

    Multi-Stage Sampling

    • Combination of one or more methods.
    • Population is divided into multiple clusters and then divided into sub-groups (strata) based on similarity.
    • Sampling procedures are carried out in several stages using random sampling techniques.

    Non-Probability Sampling

    • Convenience Sampling:
      • Selects "units" based on ease of obtaining them or simple availability.
      • Samples drawn at the convenience of the interviewer.
    • Judgment Sampling:
      • Requires a judgment or "educated guess" on the part of the interviewer.
      • Disadvantages: Subjectivity enters in, and certain members have a smaller or no chance of selection.
    • Volunteer Sampling:
      • Non-probability samples where instances are selected by volunteers.

    Probability Sampling

    • Simple Random Sampling:
      • Each unit of the population has an equal chance of being selected.
      • Probability of being selected is "known and equal" for all members.
    • Stratified Random Sampling:
      • Divides the population into homogeneous groups (strata) based on characteristics.
      • Random or systematic samples of predetermined size are obtained from each group (stratum).
    • Cluster Random Sampling:
      • Divides the population into groups (clusters), and a random sample of clusters is selected.

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    Description

    Test your knowledge on non-probability sampling techniques including convenience sampling, quota sampling, judgment sampling, and more. Learn about instances where the probability of selecting members from the population is unknown.

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