On Measuring the Quality of Survey Estimates

Abstract

The quality of survey estimates is directly affected by survey errors that include sampling errors due to selecting a sample rather than the whole population, and non-sampling errors arising from data collection and processing procedures. The latter include frame error, measurement error and non-response. This paper addresses design issues related to total survey error and its components. Methods for handling frame problems and non-response are also presented.