Nonsampling Error
The nonsampling error of an estimate based on a sample survey encompasses all factors other than sampling error that contribute to the total error of the estimate. This error may also be present in censuses and may be attributed to many sources: inability to obtain information on all units in the sample; response errors; differences in the interpretation of the questions; mistakes in coding or keying the data obtained; and other errors of collection, response, coverage, and processing. Additional nonsampling error may have been introduced by the method used to adjust the survey estimates using results of the 1997 Economic Census. Although no direct measurement of the potential biases due to nonsampling error was obtained, precautionary steps were taken in all phases of the collection, processing, and tabulation of the data in an effort to minimize their influence. The Census Bureau recommends that individuals using Quarterly Services Survey estimates incorporate this information into their analyses, as nonsampling error could affect the conclusions drawn from the estimates.
Source: U.S. Census Bureau | Last Revised: September 8, 2004
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