13 Facts About Snowball sampling

In sociology and statistics research, snowball sampling is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances.

Snowball sampling uses a small pool of initial informants to nominate, through their social networks, other participants who meet the eligibility criteria and could potentially contribute to a specific study.

Snowball sampling can be perceived as an evaluation sampling in the social computing field.

Snowball sampling has demonstrated as a second best method in conducting research in conflict environments like, in the context of the Israel and Arab Conflict.

Snowball sampling allows the investigators to approach the marginalized population at cognitive and emotional level and enroll them in study.

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Snowball sampling can be used to identify experts in a certain field such as medicine, manufacturing processes, or customer relation methods, and gather professional and valuable knowledge.

Snowball sampling can be used to recruit participants in research in marginalized, criminalized or other stigmatized behaviour, and its consequences.

Snowball sampling is used in many studies of street-involved populations.

Virtual snowball sampling is a variation of traditional snowball sampling and it relies on virtual networks of participants.

Virtual snowball sampling technique was used in order to find participants for the study of a minority group - Argentinian entrepreneurs living in Spain.

Snowball sampling is a recruitment method that employs research into participants' social networks to access specific populations.

Respondent-driven Snowball sampling involves both a field Snowball sampling technique and custom estimation procedures that correct for the presence of homophily on attributes in the population.

The respondent-driven Snowball sampling method employs a dual system of structured incentives to overcome some of the deficiencies of such samples.