The statistical differences between a perfect survey and a survey that includes only those who responded (including those who failed to respond) are referred to as sample selection error.

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Sample selection error refers to the bias that occurs when the sample does not accurately represent the population being studied, not specifically to the differences between a perfect survey and one with non-respondents.

The Statistical Differences Between a Perfect Survey and a Survey