How is Multistage Sampling Different from Other Sampling Methods?

Multistage sampling differs from other methods like simple random sampling, stratified sampling, and cluster sampling in several ways:

- Simple Random Sampling: Involves selecting individuals directly from the entire population, which is not feasible for large, dispersed populations.
- Stratified Sampling: Divides the population into strata and samples are taken from each stratum, but it does not involve multiple levels of clustering.
- Cluster Sampling: Involves selecting clusters first and then sampling individuals within those clusters. Multistage sampling is an extension of cluster sampling with multiple levels of clustering.