Non-response error occurs when individuals selected for a survey or study do not participate, leading to a bias in the results. This can happen for various reasons, such as lack of interest, inability to respond, or unavailability. If the non-respondents differ significantly from those who do respond, it can affect the validity and reliability of the findings, ultimately skewing the data and leading to incorrect conclusions. Addressing non-response through follow-ups or incentives can help mitigate this error.
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