What are the applications of cluster sampling?

What are the applications of cluster sampling?

Cluster sampling is often used in large-scale surveys where it's impractical to sample the entire population. For example, it can be applied in educational research by selecting entire schools as clusters.

Can you give me more examples of where cluster sampling is useful?

Sure! It's useful in market research, where companies might sample entire neighborhoods to understand consumer behavior, or in health studies, where entire communities can be surveyed to assess public health.

What are the advantages of using cluster sampling?

The main advantages include cost-effectiveness and time-saving, as it reduces the need for extensive travel and data collection across a wide area.

Are there any disadvantages to cluster sampling?

Yes, one disadvantage is that it can introduce bias if the clusters are not representative of the population. This can affect the validity of the results.