Stratified sampling is a way of randomly acquiring participants. It is not as random as other methods. The population is divided into several groups based on some element in the study that is being conducted. Each subgroup supplies a random group to the general group of participants in the study.
However, there is a disadvantage to using a stratified sampling in a study. This is because a stratified sampling requires you to have some prior knowledge about the elements in the population prior to drawing the sample.
You must research first to be able to divide the group into subgroups based upon certain elements. In order for the group of participants to be randomly chosen, the groups must be equal and the elements must pertain to the study’s topics.