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Non-sampling errors in questionnaire surveys: findings from a National fertility survey

China Population and Development Studies 2022年第1期6卷 34-54页

作者： Jianan Qi Xueqing Zhao Yaer Zhuang Bohua Li China Population and Development Center BeijingChina China Population Association BeijingChina

Non-sampling errors can generally be divided into three types:sampling frame errors,non-response errors and measurement *** target units in the sam-pling frame,improper handling of non-responses,and misreporting or underreport-ing of key variables in the questionnaire can all cause deviations in a survey’s *** widespread application of Computer-Assisted Personal Interviewing(CAPI)systems and the inclusion of administrative records from government sources in sur-veys has strengthened the ability to control non-sampling *** a national fertility sampling survey as an example,this study summarizes the sources of var-ious non-sampling errors and explains how to harness big data resources such as administrative records to control non-sampling errors throughout the *** study analyzes the impact of three types of non-sampling errors on the results of the fertility survey and examines the strategies used to address the problems caused by these non-sampling *** findings indicate that non-sampling errors were the main source of total error in the survey,and that the errors found came mainly from sampling frame errors;non-response errors and measurement errors were controlled and had little impact on the survey results.

关键词： Non-sampling error Sampling frame error Administrative records fertility survey

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China fertility survey 2017:design and implementation

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China Population and Development Studies 2019年第1期2卷 259-271页

作者： Yaer Zhuang Shenghui Yang Jianan Qi Bohua Li Xueqing Zhao Zhili Wang China Population and Development Research Center BeijingChina Renmin University of China BeijingChina

This paper examines the design and the process used to carry out the China fertility survey 2017,a national representative survey that collected data on fertility desire,childbearing behavior,the use of childbearing services,and the determinants of childbearing *** sampling method adopted was three-stage stratified probabilities proportional to size(PPS),and survey implementation made use of Computer Assisted Personal Interviewing(CAPI).CAPI played a significant role in survey design,last-stage sampling,interviewer training,face-to-face interviews,and questionnaire review and quality *** survey results were compared with relevant data in the Integrated Management Information System for Population and Family Planning to check *** post facto weighting was applied to correct sample structure *** process used to acquire accurate personal information is *** based on consideration of sampling frame distortion by population mobility and other factors are put forward in the hope of improving similar sampling surveys in the future.

关键词： fertility survey Quality control Ex post facto weighting

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