Sampling Techniques in Research
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Questions and Answers

What is a key characteristic of a representative sample?

  • It must be the largest sample possible.
  • It accurately reflects the characteristics of the target population. (correct)
  • It should be randomly selected from a local community.
  • It should include all demographic groups equally.

    • Which of the following is a disadvantage of using sampling in research?

  • It may exclude a large proportion of the population. (correct)
  • It ensures that all participants are easy to find.
  • It guarantees accurate generalization to the entire population.
  • It always requires a large budget.

    • What is cluster sampling primarily used for?

  • To minimize costs by using volunteer participation.
  • To ensure every subset of the population is represented.
  • To gather data from naturally occurring groups within the population. (correct)
  • To analyze detailed responses from individual participants.

    • In what case is random stratified sampling most effectively used?

    <p>When the researcher needs to ensure representation of various subgroups.</p> Signup and view all the answers

    Which sampling method is identified as advantageous for its cost-effectiveness?

    <p>Random sampling.</p> Signup and view all the answers

    What is a major concern when using volunteer samples?

    <p>They can introduce selection bias.</p> Signup and view all the answers

    What should be considered when defining a target population?

    <p>The characteristics relevant to the study's goals.</p> Signup and view all the answers

    Which option is NOT a benefit of sampling?

    <p>It eliminates the need for statistical analysis.</p> Signup and view all the answers

    What is a main advantage of random sampling?

    <p>It avoids selection bias by giving equal chances to all.</p> Signup and view all the answers

    One disadvantage of random sampling is that:

    <p>It can lead to biased results when participants decline.</p> Signup and view all the answers

    Which of the following best describes stratified sampling?

    <p>A technique that ensures certain subgroups are proportionally represented.</p> Signup and view all the answers

    For stratified sampling to be effective, what is required?

    <p>Identifying relevant strata to reflect in the sample.</p> Signup and view all the answers

    Which statement correctly identifies a disadvantage of using random sampling?

    <p>Participants might not be willing to engage in sensitive topics.</p> Signup and view all the answers

    What is the primary purpose of using stratified sampling in research?

    <p>To enhance accuracy by reflecting the diversity of the population.</p> Signup and view all the answers

    In which scenario would random sampling be least effective?

    <p>When conducting research on a sensitive issue.</p> Signup and view all the answers

    What is an essential requirement for random sampling to be effectively executed?

    <p>The availability of a complete list of the target population.</p> Signup and view all the answers

    What is the primary advantage of using random sampling in research?

    <p>It ensures that every individual in the target population has the same chance of being selected.</p> Signup and view all the answers

    What is a potential disadvantage of convenience sampling?

    <p>It can lead to a sample that is not representative of the target population.</p> Signup and view all the answers

    Which sampling technique involves dividing the population into distinct subgroups and then randomly selecting samples from each of those groups?

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

    When identifying the target population for a study, what is the most critical step?

    <p>Defining the specific demographic to be researched.</p> Signup and view all the answers

    Which sampling method is most likely to produce a biased sample?

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

    What is the main purpose of using cluster sampling in research?

    <p>To make data collection more cost-effective and efficient.</p> Signup and view all the answers

    Which scenario is an example of where stratified sampling is especially useful?

    <p>Gathering opinions from a large population with various age groups.</p> Signup and view all the answers

    Which statement correctly describes the effectiveness of random and stratified samples?

    <p>They provide the most valid results and can accurately reflect the characteristics of the population.</p> Signup and view all the answers

    Study Notes

    Sampling Techniques

    • Sampling is a method of selecting a portion of a population to study, representing the whole population.
    • A representative sample has similar characteristics to the broader population.

    Identifying the Target Population

    • Researchers identify the specific group they're studying (e.g., 13-15-year-old Maltese teenagers).
    • Defining the target population precisely is crucial for valid results.

    Random Sampling

    • Ideal for quantitative studies, ensuring every member has an equal chance of selection.
    • Prevents sampling bias, where certain characteristics are over or underrepresented.
    • Random selection methods, like random number generators, are employed.

    Stratified Sampling

    • Ensures representation from all relevant subgroups within the population (e.g., age, gender).
    • Ensures proportionate representation from each stratum.

    Cluster Sampling

    • Dividing the population into clusters (subgroups).
    • Randomly selecting clusters to study from.

    Convenience Sampling

    • Selecting participants based on availability and accessibility.
    • Researcher uses readily available individuals.
    • Might not be representative of the entire population because of the lack of random selection.

    Purposive Sampling

    • Selecting participants who could offer valuable insights.
    • Choosing participants with specific characteristics for a qualitative study.
    • Researchers are looking for particular characteristics rather than a large sample.

    Snowball Sampling

    • Existing participants refer other suitable individuals for the study.
    • Useful when existing lists are unavailable or when participants are reluctant to be identified.
    • Often used when studying sensitive or stigmatized issues.

    Volunteer Sampling

    • Participants volunteer to participate in the study.
    • Relies on self-selection.
    • Often used in research involving specific aspects or issues.
    • Volunteer bias is possible.

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    Description

    This quiz explores various sampling techniques used in research, including random, stratified, and cluster sampling. Understand how to identify a target population and ensure the sample accurately represents the broader population for valid results.

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