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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.
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In social science research, snowball sampling is a similar technique, where existing study subjects are used to recruit more subjects into the sample. Some variants of snowball sampling, such as respondent driven sampling, allow calculation of selection probabilities and are probability sampling methods under certain conditions.
Consecutive sampling, also known as total enumerative sampling, [7] is a sampling technique in which every subject meeting the criteria of inclusion is selected until the required sample size is achieved. [8] [9] Snowball sampling, involving the first respondent referring an
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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.
Those looking to become debt-free will likely find success when adopting a financial strategy or method. The Debt Snowball Method, first popularized by personal finance expert Dave Ramsey, is one ...
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