Probability Sampling Methods
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Questions and Answers

What type of sample is used when the researcher or an individual with knowledge about the population chooses the individuals they feel represent the population?

  • Probability Sample
  • Convenient Sample
  • Judgment Sample (correct)
  • Referral Sample
  • What is a major limitation of referral sampling?

  • It is not suitable for industrial marketing research
  • The selectivity used throughout the sampling process (correct)
  • It is difficult to get a large sample size
  • It is not used in commercial research
  • What type of sample is used when the researcher establishes a specific quota for various types of individuals to be interviewed?

  • Judgment Sample
  • Quota Sample (correct)
  • Convenient Sample
  • Probability Sample
  • What type of sampling is used in focus group studies?

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

    What is the main advantage of using probability sampling?

    <p>It provides a more accurate representation of the population</p> Signup and view all the answers

    When is referral sampling most appropriate?

    <p>When there is a limited and disappointingly short sample frame</p> Signup and view all the answers

    What type of sampling is used when the researcher has a limited knowledge about the population?

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

    What is the main difference between quota sampling and probability sampling?

    <p>Quota sampling is a non-probability sampling method</p> Signup and view all the answers

    What is a common use of quota sampling?

    <p>Commercial research</p> Signup and view all the answers

    What is the main disadvantage of using non-probability sampling methods?

    <p>They do not provide a representative sample of the population</p> Signup and view all the answers

    Study Notes

    Probability Sampling Methods

    • The probability of being selected into the sample is known and equal for all members of the population in probability sampling.
    • Simple random sampling is a type of probability sampling where every member of the population has an equal chance of being selected.
    • The probability of selection is calculated using the formula: Probability of selection = [Sample Size] / Population size

    Simple Random Sampling

    • The "blind draw" method involves blindly choosing participants by their names or some other unique designation.
    • The table of random numbers method uses a listing of numbers with assured random order, making it difficult to see any systematic sequence of numbers.

    Simple Random Sampling Procedure

    • Steps involved in simple random sampling include:
      • Accessing the population as per the specified definition
      • Drawing the sample in a two-phase process
      • Validating the sample by comparing its demographic profile with a known profile
      • Resampling if necessary

    Systematic Sampling

    • Systematic sampling is a type of probability sampling that employs a random starting point and a fixed interval to select participants.
    • It is often preferred over simple random sampling due to its economic efficiency and ease of application.

    Non-Probability Sampling Methods

    • Judgment samples require the researcher to use their judgment or educated guess to select participants who represent the population.
    • Referral sampling involves using existing respondents to refer additional participants, often used in industrial marketing research situations.
    • Quota samples establish a specific quota for various types of individuals to be interviewed, determined by research objectives and key characteristics.

    Sampling Process

    • Steps involved in the sampling process include:
      • Accessing the population
      • Drawing the sample
      • Validating the sample
      • Resampling if necessary

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    Description

    This quiz covers the basics of probability sampling methods, including simple random sampling and its formula. Learn about the probability of selection in sampling and how it's calculated.

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