Types of Non-Probability Sampling
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Questions and Answers

What is the primary goal of probability sampling?

  • To reduce cost and time consumed
  • To introduce bias into the study
  • To involve all members of the population
  • To select elements from the sampling frame (correct)
  • Which sampling method involves dividing the population into homogenous subgroups before selecting elements at random?

  • Quota Sampling (correct)
  • Accidental Sampling
  • Systematic Sampling
  • Simple Random Sampling
  • Why is it generally cheaper and more expeditious to involve only an adequate sampling of study subjects rather than all members of the target population?

  • It reduces bias in the study
  • It ensures complete representation of the entire population
  • It introduces spurious influence on research
  • It saves cost and time consumed (correct)
  • In which type of sampling are the most readily available or most convenient group of people or objects used as study respondents?

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

    What does Quota Sampling aim to achieve in terms of sample representation?

    <p>Ensuring representative proportions of different sub-populations</p> Signup and view all the answers

    What is the main characteristic of Accidental/ Convenience Sampling?

    <p>Selects the most readily available or convenient group</p> Signup and view all the answers

    How does Quota Sampling ensure representative proportions in the sample?

    <p>By dividing the population into homogenous strata</p> Signup and view all the answers

    What is the distinguishing feature of Purposive/ Judgment Sampling?

    <p>Subjects are handpicked based on specific qualities</p> Signup and view all the answers

    Why is Snowball/ Network Sampling termed 'Snowball'?

    <p>Due to a continuous referral process</p> Signup and view all the answers

    What is a common disadvantage of Non-Probability Sampling?

    <p>May exclude certain population elements</p> Signup and view all the answers

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