Stratified random sampling
Stratified random sampling is used to better represent specific subgroups of a given population
Stratified random sampling is a powerful probability sampling technique that can ensure that respective subgroups or strata of a given population are represented in an experimental design. First, the population is divided into smaller groups, or strata. Then, random samples are taken from each stratum. Naturally smaller groups of individuals with less prevalent characteristics of interest can be targeted and accounted for by using stratified random sampling. Accounting for the subgroups and sub-populations are always welcomed additions to the empirical literature.
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