抽样调查中计量误差的分解及应用

doi:10.12052/gdutxb.180042

Abstract

Abstract: With measurement error modeled as the random variables, a general measurement error model is presented. It decomposes the errors into variance and measurement bias. The variance can be further decomposed into measurement variance and sampling variance. The measurement variance is composed with simple measurement variance and correlated measurement variance. The calculation formula and estimation method of the above errors are obtained. According to the most common interviewer effects in survey practice, combined with investigator assignments, it is proposed that the low correlation coefficient of measurement results in repeated surveys is the key to control the correlation measurement variance, and that increasing the sub-sample interviewers can effectively reduce investigator variance.

Key words: measurement error, correlated measurement variance, correlation coefficient, interviewer variance

CLC Number:

C811

Luo Wei. Decomposition and Application of Measurement Errors in Survey Sampling[J].Journal of Guangdong University of Technology, 2018, 35(04): 51-55.

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