What are the best practices for stratified sampling?

What are the best practices for stratified sampling?

Stratified sampling involves dividing a population into subgroups and sampling from each. Best practices include defining strata clearly, ensuring proportional representation, and using random sampling within strata.

How do I determine the appropriate number of strata?

The number of strata should balance between having enough detail and not overcomplicating the analysis. A common approach is to consider the variability within the population and the research objectives.

Can you give an example of stratified sampling?

Sure! For instance, if you're studying student performance, you might stratify by grade level and then randomly sample students from each grade to ensure representation.

What are the common mistakes to avoid in stratified sampling?

Common mistakes include poorly defined strata, unequal sample sizes that don't reflect the population, and failing to randomize within strata.