Stratified random sampling is a probability sampling technique where the population is first divided into mutually exclusive and exhaustive subgroups, or strata, based on shared characteristics. Random samples are then drawn from each stratum, ensuring that the final sample is representative of the overall population. This method is particularly useful when measuring public opinion, as it allows researchers to capture the diverse perspectives and experiences within a population.
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