Non-sampling errors in questionnaire surveys: findings from a National Fertility Survey

作     者：Jianan Qi Xueqing Zhao Yaer Zhuang Bohua Li 

作者机构：China Population and Development CenterBeijingChina China Population AssociationBeijingChina 

出 版 物：《China Population and Development Studies》 (当代中国人口与发展（英文）)

年 卷 期：2022年第6卷第1期

页      面：34-54页

学科分类：0401[教育学-教育学] 04[教育学] 

基　　金：sponsored by the Follow-up Research on Fertility Level and Fertility Intentions with the Help of Big Data(No.21BRK001) a research project funded by the National Social Science Fund of China 

主　　题：Non-sampling error Sampling frame error Administrative records Fertility survey 

摘      要：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.