Reduced bias refers to the minimization of systematic errors that can affect the validity and reliability of survey results. It plays a critical role in enhancing the accuracy of data collection methods, ensuring that samples accurately reflect the population being studied. By addressing various sources of bias, such as selection bias or measurement bias, researchers can obtain more reliable insights and make better-informed decisions based on their findings.
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