1. Systematic sampling
  2. Stratified random sampling
  3. Purposive sampling
  4. Multistage cluster sampling
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Option 3 : Purposive sampling

Concept:

  • Sampling is a process of selecting predetermined number of observations from a larger population
  • Majorly we have 2 types probability and non probability sampling techniques
  • Probability sampling technique includes
    • Simple random sampling
    • Cluster random sampling
    • Systematic random sampling
    • Stratified random sampling
  • Non probability sampling technique includes
    • Convenience sampling
    • Judgmental or purposive sampling
    • Snowball sampling
    • Quota sampling

 

  • In probability sampling all the members will have an equal opportunity to participate in research
  • In non probability sampling researcher selects the samples randomly where all the participants may not get equal chance to participate in study
  • Systematic sampling in this the researcher chooses the sample members of a population at regular intervals
  • In stratified random sampling the researcher divides the population into small groups which represents the larger group
  • Purposive sampling method researcher purely consider the purpose of the study along with the understanding of audience
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