Non-sampling error refers to the inaccuracies that occur in survey results or data collection processes that are not related to the selection of the sample. These errors can arise from a variety of sources, such as data processing mistakes, respondent misinterpretation, or biases in survey design. Understanding non-sampling errors is crucial because they can significantly impact the validity and reliability of the findings, leading to incorrect conclusions.
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