Different sampling techniques

Question

Accepted Answer

Sampling techniques are methods used to select a subset of individuals from a larger population for research purposes.

Simple random sampling: Each member of the population has an equal chance of being selected.
Stratified sampling: Population divided into subgroups, then random samples taken from each subgroup.
Cluster sampling: Population divided into clusters, then random clusters are selected for sampling.
Systematic sampling: Selecting every nth individual from a list of the population.
Convenience sampling: Choosing individuals who are easily accessible or available.
Snowball sampling: Participants recruit other participants for the study.
Quota sampling: Researchers select a specific number of individuals from different categories.

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