What is one of the main advantages of using stratified sampling?

One of the primary advantages of using stratified sampling is that it ensures all sub-groups within the population are represented. In this method, the population is divided into distinct strata or groups based on shared characteristics relevant to the research, such as age, gender, or socio-economic status. By sampling from each of these strata, researchers can obtain a more accurate and comprehensive representation of the entire population. This reduces the risk of bias that could occur if certain groups were over-represented or under-represented in the sample, ultimately leading to more valid and reliable results. Stratified sampling enhances the ability of researchers to draw meaningful conclusions that are reflective of the diverse elements within the population being studied.