In qualitative research, stratified sampling is a specific strategy for implementing the broader goal of purposive sampling. In this case, dividing the larger population into subcategories that are relevant for the research goals ensures that the data will include cases from each of these categories.

What type of sampling is stratified sampling?

Stratified random sampling is a type of probability sampling using which a research organization can branch off the entire population into multiple non-overlapping, homogeneous groups (strata) and randomly choose final members from the various strata for research which reduces cost and improves efficiency.

What is stratified sampling in quantitative research?

Stratified sampling is a probability sampling method and a form of random sampling in which the population is divided into two or more groups (strata) according to one or more common attributes. Stratified random sampling intends to guarantee that the sample represents specific sub-groups or strata.