What is a disadvantage of stratified sampling?

Stratified sampling is a method where the population is divided into distinct subgroups, or strata, that share similar characteristics. The main disadvantage associated with this technique is that it can be time-consuming to divide the entire population into these groups. To ensure that each stratum is accurately represented, researchers must first identify the relevant strata, gather data on the characteristics of individuals within those strata, and then sample from each one appropriately.

While stratified sampling is effective in producing a representative sample, the initial organization and classification process can require significant effort and resources. This step is necessary to achieve the advantage of representation which stratified sampling aims for, but it does add a layer of complexity to the research process. Thus, the time and resources needed to effectively implement stratified sampling is a notable disadvantage of this method.