Sampling Methods in Research
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Questions and Answers

What sampling method involves writing the names of students on slips of paper and selecting them from a box?

  • Stratified random sampling
  • Convenience sampling
  • Cluster sampling
  • Simple random sampling (correct)

    • Which method involves generating random numbers from a table to select a sample?

  • Quota sampling
  • Convenience sampling
  • Using random numbers from a table (correct)
  • Cluster sampling

    • What is the purpose of stratified random sampling?

  • To divide the population into strata (correct)
  • To select elements using a random process
  • To select elements based on proximity
  • To select elements based on convenience

    • How is the stratified random sampling different from simple random sampling?

    <p>Stratified sampling divides the population into groups</p> Signup and view all the answers

    Which method ensures that each group within a population is represented in the sample?

    <p>Stratified random sampling</p> Signup and view all the answers

    What is the critical characteristic required for using stratified random sampling?

    <p>Homogeneity of groups</p> Signup and view all the answers

    What is the main misconception about sample size and population size?

    <p>A larger population always requires a larger sample size.</p> Signup and view all the answers

    What are the main criteria to consider in determining sample size?

    <p>Required level of precision and variability of the population</p> Signup and view all the answers

    Why is it suggested to have a dialogue with experienced individuals when making sampling decisions?

    <p>To cover all necessary issues and ensure a sensible proposal</p> Signup and view all the answers

    What is the outcome of adopting pre-packaged solutions without thought?

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

    What should the final decision on sample size be based on?

    <p>Trade-offs among different elements</p> Signup and view all the answers

    Why should you take comfort in knowing your solution may be less than perfect?

    <p>Adopting pre-packaged solutions is worse</p> Signup and view all the answers

    What is the main characteristic of snowball sampling?

    <p>It starts with a small number of units and expands through networking.</p> Signup and view all the answers

    Which sampling method relies more on networking?

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

    What is the key aspect of probability sampling?

    <p>Selection occurs by a chance mechanism without favoritism</p> Signup and view all the answers

    Which type of random sampling involves not replacing sampling units after each draw?

    <p>Random sampling without replacement</p> Signup and view all the answers

    What condition is essential for simple random sampling (SRS) to work effectively?

    <p>Population homogeneity and known sample frame</p> Signup and view all the answers

    Which sampling method involves starting with a small number of units and expanding through networking until the required sample size is reached?

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

    What is the purpose of stratified random sampling?

    <p>To divide the population into subgroups called strata</p> Signup and view all the answers

    In stratified random sampling, what does equal allocation refer to?

    <p>All strata have approximately the same number of units selected</p> Signup and view all the answers

    What is the sampling interval in systematic random sampling?

    <p>$k = N/n$</p> Signup and view all the answers

    How is stratified random sampling different from systematic random sampling?

    <p>Stratified sampling divides the population into subgroups, while systematic sampling selects every kth unit</p> Signup and view all the answers

    What is the key principle of systematic random sampling?

    <p>Selecting a random starting point and choosing every kth member from it</p> Signup and view all the answers

    What type of errors are included in non-sampling error?

    <p>Frame error, non-response error, specification error, processing error</p> Signup and view all the answers

    What does the sample size formula n = z² p *q / e² help determine?

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

    What is the probability p in the sample size formula n = z² p *q / e²?

    <p>Probability a person is chosen to be interviewed</p> Signup and view all the answers

    What does the value of z represent in the sample size formula n = z² p *q / e²?

    <p>Critical value from normal distribution</p> Signup and view all the answers

    Why is it necessary to add 4% more persons to the computed sample size?

    <p>To account for non-responses</p> Signup and view all the answers

    How is q defined in the context of determining sample size?

    <p>'Q' represents the probability a person is not chosen to be interviewed.</p> Signup and view all the answers

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