When respondents to something like a survey or the overall poll are unable or reluctant to do so, nonresponse bias results. Everyone has a unique set of justifications for not responding.
When semi from a sample deviate significantly from respondents, this is known as the non (or late-response) bias (or early responders). This bias is prevalent in descriptive, analytical, and experimental research, and survey studies have shown it to be a severe problem.
Nonresponse bias can result in a number of problems: Response bias bias increases random errors since the actual sample size collected doesn't match the intended sample size. As respondents consistently differ from nonrespondents, the results are not typical of the intended population.
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