What are the limitations of stratified sampling?

What are the limitations of stratified sampling?

Stratified sampling can be limited by the difficulty in identifying appropriate strata, potential bias in strata selection, and the need for a complete list of the population.

Can you explain how bias can occur in stratified sampling?

Bias can occur if the strata are not well-defined or if certain groups are overrepresented or underrepresented in the sample.

What are some examples of when stratified sampling might not be effective?

Stratified sampling might not be effective in populations that are homogeneous or when the strata are too small to provide reliable data.

How does stratified sampling compare to simple random sampling?

Stratified sampling is generally more precise than simple random sampling, especially when there are significant differences between strata.

What are some alternatives to stratified sampling?

Alternatives include simple random sampling, systematic sampling, and cluster sampling, each with its own advantages and limitations.