Stratified Random Sampling is a method of sampling that divides the population into mutually exclusive homogeneous groups (like age, gender or education level) before randomly selecting from each group. This method aims to ensure that the resultant sample accurately reflects the population diversity. It is a good strategy when there is reason to believe that the subgroups may have different perspectives/responses.

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