Probability Sampling Methods
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What is the key characteristic of probability sampling?

  • Only specific groups are included in the sample.
  • All members have the same likelihood of being chosen. (correct)
  • Selection is based on human judgment.
  • Members are selected based on convenience.
  • What is a disadvantage of systematic sampling?

  • It is only suitable for large populations.
  • It is too random and lacks structure.
  • It does not require a sampling frame.
  • It may introduce bias if the interval aligns with patterns. (correct)
  • Stratified random sampling involves dividing the population based on which factors?

  • The available resources for sampling.
  • The size of the sample needed.
  • Geographical location only.
  • Characteristics such as age or gender. (correct)
  • Which sampling method would be characterized as non-probability sampling?

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

    A researcher selects every 4th participant based on a random start. This technique is known as:

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

    Which of the following is a qualitative research method most suitable for non-probability sampling?

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

    What is a primary concern when using convenience sampling?

    <p>It may not represent the population well.</p> Signup and view all the answers

    In stratified random sampling, what is the purpose of creating strata?

    <p>To ensure representation of specific subgroups.</p> Signup and view all the answers

    Which sampling technique is most likely to involve judgment in selecting participants?

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

    A method that relies heavily on social networks for participant recruitment is referred to as:

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

    What is a defining characteristic of stratified random sampling?

    <p>It draws more respondents from larger strata.</p> Signup and view all the answers

    Which of the following best describes multistage cluster random sampling?

    <p>It selects random clusters and samples within those clusters.</p> Signup and view all the answers

    When is probability sampling considered appropriate?

    <p>In situations where dietary exposures or health outcomes vary between strata.</p> Signup and view all the answers

    What is a major limitation of convenience sampling?

    <p>It is prone to significant bias due to the ease of respondent selection.</p> Signup and view all the answers

    What is the purpose of quota sampling?

    <p>To limit the number of respondents based on certain characteristics.</p> Signup and view all the answers

    In what situation is network (snowball) sampling most useful?

    <p>When it is difficult to identify and locate respondents with specific characteristics.</p> Signup and view all the answers

    How does systematic random sampling differ from simple random sampling?

    <p>Systematic sampling selects respondents at fixed intervals from a list.</p> Signup and view all the answers

    What is a drawback of using multistage cluster sampling in a widely distributed population?

    <p>It can lead to significant costs and time for recruitment.</p> Signup and view all the answers

    Which of the following implies a convenience or judgment-based selection of respondents?

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

    Which of the following methods can lead to a less representative sample of a population?

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

    Which sampling method ensures that every member of the population has a known chance of being selected?

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

    What distinguishes stratified sampling from other sampling methods?

    <p>It divides the population into subgroups and randomly samples from each.</p> Signup and view all the answers

    Which of the following best describes systematic sampling?

    <p>Selecting every nth member from a list of the population.</p> Signup and view all the answers

    In cluster sampling, what is done after forming the clusters?

    <p>A random selection of clusters is chosen and all individuals from those clusters are sampled.</p> Signup and view all the answers

    What is the key limitation of convenience sampling?

    <p>It may lead to biased results due to non-representative samples.</p> Signup and view all the answers

    How does probability sampling differ from non-probability sampling?

    <p>In probability sampling, each member of the population has a non-zero chance of being selected.</p> Signup and view all the answers

    What is the primary advantage of using stratified sampling?

    <p>It ensures that crucial subgroups are represented adequately in the sample.</p> Signup and view all the answers

    Which sampling method could be least appropriate for conducting a survey on a specialized medical condition?

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

    What is a common misconception regarding cluster sampling?

    <p>It can only be used when clusters are easily accessible.</p> Signup and view all the answers

    Which situation is an example of systematic sampling?

    <p>Surveying every fifth person entering a clinic.</p> Signup and view all the answers

    Study Notes

    Probability Sampling

    • Simple random sampling:
      • Each member of the population has an equal chance of being selected.
      • Requires a comprehensive sampling frame.
      • Can be done using SPSS, online random sample generators, or a table of random numbers.
    • Systematic sampling:
      • Involves selecting every nth individual after a random starting point.
      • The interval between selections should be fixed and not correspond with any patterns in the population.
    • Stratified random sampling:
      • Divides population into subgroups based on a specific characteristic, like age, gender, or socioeconomic status.
      • A random sample is then selected from each subgroup.
    • Multistage cluster random sampling:
      • Used when the population is geographically dispersed.
      • Involves dividing the population into clusters, then randomly selecting clusters and sampling within those clusters.
      • Clusters are assumed to be similar to each other and to the overall population.

    ### Nonprobability Sampling

    • Convenience sampling:
      • Selection based on ease of access.
      • Often used as a preliminary method, but can be prone to bias.
    • Quota sampling:
      • Convenience sampling with quotas for demographic characteristics.
      • Aims to achieve proportions found within the population, but does not involve random selection.
    • Purposive sampling:
      • Respondents are handpicked based on their perceived representativeness of the population.
      • Can be useful for specific situations where a particular type of participant is required.
    • Network (snowball) sampling:
      • Used when locating respondents with specific characteristics is difficult.
      • The researcher finds initial respondents and asks them to recommend others.
    • Respondent driven sampling:
      • Similar to snowball sampling, but respondents are incentivized to recruit other participants, increasing the likelihood of reaching hidden populations.

    ### Sampling Considerations

    • Target population: the overall group of interest.
    • Accessible population: the subset of the target population that's reachable.
    • Sampling frame: a list of members of the accessible population, used for selecting the sample.
    • Sample: the individuals chosen from the accessible population to participate in the study.
    • Sampling methodology: the approach used to select the sample, influencing the representativeness of the results.
    • Sampling unit: the individual, household, or other unit selected in the sampling process.
    • Sampling bias: systematic error resulting from a non-random selection method, compromising the accuracy of the findings.

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    Description

    This quiz covers various probability sampling techniques including simple random sampling, systematic sampling, stratified random sampling, and multistage cluster random sampling. Understand the fundamentals and applications of each method to enhance your research skills.

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