Quota samples, judgmental samples, snowball samples and reliance on available subjects are all examples of nonprobability samplings.
A subset of the population is used in sampling in order to reflect the entire population or to learn more about (social) processes that are significant beyond the specific cases, people, or study sites. The general population is not supposed to be inferred statistically from a sample using nonprobability sampling procedures. Instead, iterative nonprobability sampling can be used to create grounded theory up until theoretical saturation. When conducting statistical quantitative research, nonprobability sampling is frequently inappropriate.
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