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What Is Snowball Sampling

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What Is Snowball Sampling
What is snowball sampling?
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. The term "snowball sampling" reflects an analogy to a snowball increasing in size as it rolls downhill [9]
Snowball Sampling is a method a used to obtain research and knowledge, from extended associations, through previous acquaintances, "Snowball sampling uses recommendations to find people with the specific range of skills that has been determined as being useful." An individual or a group receives information from different places through a mutual intermediary. This is referred to metaphorically as snowball sampling because as more relationships are built through mutual association, more connections can be made through those new relationships and a plethora of information can be shared and collected, much like a snowball that rolls and increases in size as it collects more snow. Snowball sampling is a useful tool for building networks and increasing the number of participants. However, the success of this technique depends greatly on the initial contacts and connections made. Thus it is important to correlate with those that are popular and honorable to create more opportunities to grow, but also to create a credible and dependable reputation.
Method
1. Draft up a participation program (likely to be subject to change, but indicative).
2. Approach stakeholders and ask for contacts.
3. Gain contacts and ask them to participate.
4. Community issues groups may emerge that can be included in the participation program.
5. Continue the snowballing with contacts to gain more stakeholders if necessary.
6. Ensure a diversity of contacts by widening the profile of persons involved in the snowballing exercise.
Applications of snowball sampling
Requirement
The participants are likely to know others who share the characteristics that make them

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