Snowball sampling is a non-probability sampling method where initial participants recruit subsequent participants, who then recruit more participants, and so on. This creates a chain of referrals that can be used to reach a target population that is difficult to identify or access.
Snowball sampling can be used for quantitative surveys, but it is important to be aware of the limitations of this method. Because the sample is not randomly selected, it is not possible to make inferences about the target population as a whole. However, snowball sampling can be a useful way to gather data from hard-to-reach populations or to explore new research areas.
Here are some of the advantages of using snowball sampling for quantitative surveys:
- It can be used to reach populations that are difficult to identify or access.
- It can be used to gather data from people who are reluctant to participate in surveys.
- It can be used to explore new research areas.
Here are some of the disadvantages of using snowball sampling for quantitative surveys:
- The sample is not randomly selected, so it is not possible to make inferences about the target population as a whole.
- The sample may be biased, as it is likely to include people who are more willing to participate in surveys.
- It can be difficult to control the sample size.
If you are considering using snowball sampling for a quantitative survey, it is important to carefully consider the advantages and disadvantages of this method. You should also be aware of the limitations of the data that you will collect.
