response bias

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response bias

systematic error due to differences in characteristics between those who choose or volunteer to take part in a study, and those who do not.

res·ponse bi·as

(rĕ-spons' bī'ăs)
Systematic error due to differences in characteristics between those who choose or volunteer to take part in a study and those who do not.
References in periodicals archive ?
Provide a final report including results of analysis of the data to assess data quality, robustness and identify any non-response bias.
We assessed non-response bias by testing whether early and late responders to the survey differed in their support for options by assuming that late responders would be more like non-responders than would early responders (Miller and Smith 1983).
The surveys provide sampling weights based on the RN population recorded in the state licensure data, with adjustments, in some cases, to account for possible non-response bias.
The following are appended: (1) NSF-Generated EAPSI Descriptions; (2) Non-Response Bias Study; (3) Detailed Description of Impact Analysis; (4) Detailed Description of Benchmarking Analysis; (5) Surveys; and (6) Benchmark of Applicants to National Data.
The potential for non-response bias is present in every mail survey due to the inability to obtain responses from all members of the original sample.
1985) was applied in this industrial mail survey study to obtain a higher response rate and control non-response bias (Wan 2004).
Non-response bias appears limited, although southern very large churches and Baptists appeared to be moderately under-responsive.
Non-response bias and item non-response bias are due either to the fact that a respondent could not be contacted at all, or to the fact that the respondent refused or failed to provide some subset of the information sought by the surveyor.
Improved consistency and enhanced coverage - truly global system integrates and synchronizes all data collection processes; improves administration and supervision of multi-lingual, multi-country, multi- mode studies; and reduces coverage errors and non-response bias.
The program sample is also large enough to eliminate significant concerns about non-response bias, the phenomenon where those participating may be different than those choosing not to participate.