Sampling Techniques

Subdecks (2)

Cards (32)

  • Sample
    A portion of the population used to represent the population in a study
  • A sample must represent the entire population
  • A sample must not be biased
  • Sample
    All members have an equal chance of being selected
  • Probability Sampling Methods

    A type of sampling in which all the members of an entire population have a chance of being selected
  • Probability Sampling Methods
    a. Simple Random Sampling b. Systematic Random Sampling c. Stratified Random Sampling d. Cluster Sampling
  • Non-Probability Sampling Methods 

    Disregards random selection of subjects. The subjects are chosen based on their availability or the purpose of the study, and in some cases, on the sole discretion researcher. of the
  • Non-Probability Sampling Methods 

    a. Convenience Sampling b. Purposive Sampling c. Quota Sampling d. Volunteer Sampling e. Snowball Sampling