Snowball sampling is often used when interviewing. Instead randomly asking people about a particular topic, you would interview initially a person thought to be knowledgable about a subject and then ask them to identify additional people who could serve as usefull interviewees. You then interview those people and ask them to suggest even more people. Thus, your pool of interviewees increases over time, something akin to making a big snowball where it slowly groes as you add more snow.
What is the difference between quota sampling and cluster sampling
It can be but it is not simple random sampling.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
What I believe you are referring to is cluster sampling or cluster. In cluster sampling, the population is divided into clusters and all population members in the cluster are sampled.
Multistage sampling is a form of cluster sampling where instead of using the entire cluster, random samples from each cluster are used. This is typically used when doing opinion polls or surveys.
simple random, stratified sampling, cluster sampling
Simple Random Sample Stratified Random Sampling Cluster Sampling Systematic Sampling Convenience Sampling
There are many such methods: cluster sampling, stratified random sampling, simple random sampling.Their usefulness depends on the circumstances.
Advantages of cluster sampling include that it's inexpensive, fast, and simple. A disadvantage is that it is known to have a high sampling error.
Answer is Quota sampling. Its one of the method of non-probability sampling.
Random samples that do not require a sampling frame include convenience sampling and snowball sampling. In convenience sampling, researchers select individuals who are easily accessible, while snowball sampling relies on existing study subjects to recruit additional participants, often used in hard-to-reach populations. Both methods do not require a comprehensive list of the entire population, which is a key characteristic of traditional sampling frames.
cluster sampling