Sampling

• Random Sampling


  Every member of the population has an equal chance of being selected
• Stratified Sampling


  Population divided into subgroups (or strata) and random samples are taken from each stratum
• Systematic Sampling


  Selecting every nth member from the population after a random start
• Cluster Sampling


  Dividing the population into clusters and randomly selecting entire clusters for sampling
• Convenience Sampling


  Choosing individuals who are conveniently available
• Snowball Sampling


  Existing subjects recruit future subjects from among their acquaintances
• Quota Sampling


  Non-random sampling method where individuals are selected non-randomly according to pre-defined quotas
• Purposive Sampling


  Researchers select participants based on specific characteristics relevant to the study
• Sequential Sampling


  Sampling method where the sample size depends on the analysis conducted during the research process
• Volunteer Sampling


  Participants self-select to participate in the study