What is the main goal of stratified sampling?

The main goal of stratified sampling is to create equal representation of various subgroups within a population. This method involves dividing the population into distinct subgroups, or strata, based on specific characteristics such as age, gender, income level, or education. By ensuring that these subgroups are represented proportionately in the sample, researchers can obtain more accurate and generalized findings that reflect the diversity of the entire population.

Stratified sampling also enhances the reliability of the data and can improve the precision of estimates, as it helps to reduce sampling error within each subgroup being studied. This approach is particularly useful when there are significant differences between subgroups, allowing for a clearer understanding of how different elements within the population may respond or behave.