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In sociology and statistics research, snowball sampling [1] (or chain sampling, chain-referral sampling, referral sampling [2] [3]) is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances. Thus the sample group is said to grow like a rolling snowball.
Sample mean and covariance – redirects to Sample mean and sample covariance; Sample mean and sample covariance; Sample maximum and minimum; Sample size determination; Sample space; Sample (statistics) Sample-continuous process; Sampling (statistics) Simple random sampling; Snowball sampling; Systematic sampling; Stratified sampling; Cluster ...
A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole ...
Snowball sampling, involving the first respondent referring an acquaintance, and so on. Such samples are biased because they give people with more social connections an unknown but higher chance of selection, [10] but lead to higher response rates. Judgment sampling or purposive sampling, where the researcher chooses the sample based on who ...
Quota Samples: The sample is designed to include a designated number of people with certain specified characteristics. For example, 100 coffee drinkers. This type of sampling is common in non-probability market research surveys. Convenience Samples: The sample is composed of whatever persons can be most easily accessed to fill out the survey.
Sampling methods may be either random (random sampling, systematic sampling, stratified sampling, cluster sampling) or non-random/nonprobability (convenience sampling, purposive sampling, snowball sampling). [3] The most common reason for sampling is to obtain information about a population.
Interactive maps, databases and real-time graphics from The Huffington Post
Statistics on Snowball sampling In U.K. where the telephone coverage is not as high as in USA, Harris(1971) conducted survey of handicapped and impaired. He screened 250,000 households, by mail questionnaires at the initial phase; a response rate of 85.6 percent was obtained.