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Stratified random sampling.
This is a sampling technique that involves dividing a given population into different sub-groups, also known as strata on the basis of the characteristics (professionals, managers, skilled workers, unskilled workers and businessmen) of each strata. A random sample is then selected from each stratum, which is in direct proportion to the stratum size compared to the general population.
Researchers prefer this method as it differs from simple random sampling because it accurately reflects the population being studied. i.e. it ensures that each strata within the population is properly represented.
nyakio_evalyne answered the question on July 28, 2018 at 07:50
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