7.2 Sampling Techniques

    Cards (86)

    • What are sampling techniques used for in sociological research?
      To select a subgroup
    • What is a key requirement for stratified sampling?
      Knowledge of population strata
    • What can introduce bias in systematic sampling if the population has periodic patterns?
      Every nth member is selected
    • Probability sampling ensures high representativeness of the population.
      True
    • What is the population coverage like in probability sampling?
      Comprehensive
    • In random sampling, each member of the population has an equal chance of being selected
    • Quota sampling is quick and easy to implement
    • Match the sampling method with its description:
      Random Sampling ↔️ Each member has equal chance
      Stratified Sampling ↔️ Divides population into strata
      Quota Sampling ↔️ Uses predetermined quotas
      Convenience Sampling ↔️ Based on accessibility
    • Non-probability sampling has significant potential for bias
    • Non-probability sampling is commonly used in qualitative
    • Convenience sampling is cost-effective but highly prone to bias
    • What is the primary advantage of stratified sampling?
      Ensures group representation
    • Which sampling technique selects every nth member of the population from a starting point?
      Systematic sampling
    • Match the sampling method with its description:
      1️⃣ Random Sampling
      2️⃣ Each member has equal chance
      3️⃣ Stratified Sampling
      4️⃣ Divides population into strata
      5️⃣ Quota Sampling
      6️⃣ Based on predetermined quotas
      7️⃣ Convenience Sampling
      8️⃣ Based on accessibility
    • Random sampling ensures complete representation of all groups in the population.

      True
    • Convenience sampling is highly susceptible to bias.
      True
    • What is the key difference between probability and non-probability sampling?
      Random vs non-random
    • Match the sampling type with its example:
      Probability Sampling ↔️ Stratified Sampling
      Non-Probability Sampling ↔️ Snowball Sampling
    • Random sampling can be difficult to implement in practice.

      True
    • Systematic sampling can introduce bias if the population has periodic patterns.

      True
    • Quota sampling selects participants based on predetermined quotas
    • What is the main advantage of random sampling?
      High representativeness
    • Which sampling technique can introduce bias if the population has periodic patterns?
      Systematic sampling
    • What is the key difference between probability and non-probability sampling in terms of population coverage?
      Comprehensive vs limited
    • In random sampling, each member of the population has an equal chance of being selected
    • Systematic sampling can introduce bias if the population has periodic patterns
    • What is the goal of sampling techniques in research?
      Represent the population
    • What is the primary advantage of stratified sampling over simple random sampling?
      Ensures group representation
    • Which non-probability sampling technique is faster and easier to implement but less representative?
      Convenience sampling
    • Why is quota sampling often used despite its limitations?
      It is quick and easy
    • Match the sampling method with its drawback:
      Random Sampling ↔️ Difficult to implement
      Stratified Sampling ↔️ Requires knowledge of strata
      Quota Sampling ↔️ May not represent population
      Convenience Sampling ↔️ Highly susceptible to bias
    • Convenience sampling is highly susceptible to bias.

      True
    • Each sampling technique has its own advantages and disadvantages
    • Stratified sampling ensures representation of all subgroups within a population.

      True
    • Non-probability sampling uses random selection to choose participants.
      False
    • Probability sampling is commonly used in qualitative research.
      False
    • Random sampling is always easy to implement in practice.
      False
    • Which probability sampling method is cost-effective for geographically dispersed populations?
      Cluster sampling
    • In random sampling, each member of the population has an equal chance of being selected
    • Systematic sampling can introduce bias if the population has periodic patterns
    See similar decks