%0 Journal Article
%A Navvabpour, Hamidreza
%A Chegini, Tayebeh
%A Safarnejad Borujeni, Akram
%T An Application of Total Survey Error Estimation in a Small Scale Survey
%J Iranian Journal of Official Statistics Studies
%V 25
%N 1
%U http://ijoss.srtc.ac.ir/article-1-26-en.html
%R
%D 2014
%K Total survey error, sampling error, non-sampling error, gold standard measurement, misclassification.,
%X Survey is a method of gathering information from a sample of units or all of the population. In sample survey, sampling distributions of estimators are affected by errors. These errors may push estimate in a specific direction or inflate its variation. Difference between the estimated and the parameter that is intended to estimate, is called survey error. Total survey error (TSE) refers to totality of errors that can arise in the design, collection, processing, and analysis of survey data. It includes sampling error and nonsampling error. Components of nonsampling error are specification, coverage, measurement, nonresponse, and processing errors.An estimate of TSE is useful to compare the accuracy of data from alternative modes of data collection or estimation methods, and to optimize the allocation of resources for the survey design. The most common metric for quantifying TSE is the mean squared error (MSE). If the gold standard measurements are available on all sample units, an approximate estimate of MSE can be used to quantify TSE. The preferred approach is to decompose the TSE into components associated with the various sources of errors in surveys. Then total bias error and variance components can be estimated. In this article, data from a small scale survey, which has been conducted in a faculty of university in Tehran, is used to estimate TSE.
%> http://ijoss.srtc.ac.ir/article-1-26-en.pdf
%P 47-68
%& 47
%!
%9 Research
%L A-10-1-4
%+
%G eng
%@ 2538-5798
%[ 2014