![]() Now, to make it proportionate, the researcher uses one specific fraction or a percentage to be applied on its subgroups of population. For example, you have three sub-groups with a population size of 150, 200, 250 subjects in each subgroup respectively. In the proportionate random sampling, each stratum would have the same sampling fraction. There are two types of stratified sampling – one is proportionate stratified random sampling and another is disproportionate stratified random sampling. The researcher can represent even the smallest sub-group in the population. Stratified sampling is used when the researcher wants to understand the existing relationship between two groups. The population is divided into various subgroups such as age, gender, nationality, job profile, educational level etc. While using stratified sampling, the researcher should use simple probability sampling. The strata or sub-groups should be different and the data should not overlap. ![]() After dividing the population into strata, the researcher randomly selects the sample proportionally.ĭescription: Stratified sampling is a common sampling technique used by researchers when trying to draw conclusions from different sub-groups or strata. The strata is formed based on some common characteristics in the population data. ![]() Definition: Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process.
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