Non-sampling error
In statistics, non-sampling error is a catch-all term for the deviations from the true value that are not a function of the sample chosen, including various systematic errors and any random errors that are not due to sampling.[1] Non-sampling errors are much harder to quantify than sampling errors.[2]
Non-sampling errors in survey estimates can arise from:[3]
- Coverage error, such as failure to accurately represent all population units in the sample, or the inability to obtain information about all sample cases;
- Response errors, possibly due to definitional difficulties or misreporting;
- Mistakes in recording or coding the data obtained;
- Other errors of coverage, collection, nonresponse, response, processing, or imputing for missing or inconsistent data.[3]
See also
References
- ^ Dodge, Y. (2003) The Oxford Dictionary of Statistical Terms, OUP. ISBN 0-19-920613-9
- ^ Fritz Scheuren (2005). "What is a Margin of Error?", Chapter 10, in "What is a Survey?", American Statistical Association, Washington, D.C. Accessed 2008-01-08.
- ^ a b U.S. Census Bureau. March 2012. Introduction. Quarterly Financial Report for Manufacturing, Mining, Trade, and Selected Service Industries. Fourth Quarter 2011. p. xxi
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