Raking is a statistical technique used to adjust survey weights to ensure that the sample more accurately reflects the population being studied. This method helps in reducing sampling errors and bias by aligning the sample distribution with known population parameters, such as age, gender, or income level. Raking enables researchers to correct for underrepresentation or overrepresentation of certain demographic groups in the sample.
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