An adjustment factor is a numerical value used to modify survey estimates in order to correct for biases or to align sample data with known population characteristics. This concept is particularly important in ensuring that survey results accurately represent the population, especially when there are discrepancies in demographic distributions. By applying adjustment factors, researchers can enhance the reliability of their estimates and ensure better alignment with real-world data.
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