0
Snowball sampling can be used in a number of circumstances.
Sometimes the researcher may be able to identify only a small number of individuals in the target group but these people are likely to known others in the target group, and people that they know will also know more such people-and so on. By including those few initial people in her sample, and asking them to recruit others, the researcher may be able to achieve a useable sample size.
Then, sometimes, a researcher is actually more interested in the connections between people, or in other words, social networks. In this case, snowball sampling can be used to identify those connections.
Please see the link.
Still curious? Ask our experts.
Chat with our AI personalities
Steve
Maxine
ProfessorAdd your answer:
Earn +20 pts
What is the purpose of the sample proportion?
The sampling proportion may be used to scale up the results from a sample to that of the population. It is also used for designing stratified sampling.
What is the purpose of random sampling in a poll?
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
Which one is called non probability sampling a. cluster sampling b.quota sampling c. systematic sampling d. stratified sampling?
Answer is Quota sampling. Its one of the method of non-probability sampling.
Define the four different sampling techniques?
1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling
What is networking sampling?
Like snowball sampling, network sampling utilizes a "word of mouth" approach of acquiring participants. Those who are originally recruited suggest further participants. This method allows researchers to access populations that are not easily identifiable, are small in number, private, poorly organized or socially marginalized. Examples of such populations would be sexual minorities, drug users, etc. The advantage of network sampling is that these hard-to-reach populations are penetrated and recruitment is fairly convenient and inexpensive for the researcher. Most research methods experts find that network sampling is just as effective as other, more random methods and rarely leads to validity or reliability errors.
