Abstract
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 behavior. The 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 control. The survey results were compared with relevant data in the Integrated Management Information System for Population and Family Planning to check consistency. Ex post facto weighting was applied to correct sample structure bias. The process used to acquire accurate personal information is summarized. Suggestions 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.
Highlights
China has conducted several national fertility and family planning surveys since the 1980s to understand childbearing behavior and contraceptive use among couples of reproductive age
This report reviews the entire process used for the China Fertility Survey 2017, including survey design, implementation, data processing and quality control
We conclude that the survey results were accurate and reliable, while bias caused by sample structure was corrected after ex post facto weighting
Summary
China has conducted several national fertility and family planning surveys since the 1980s to understand childbearing behavior and contraceptive use among couples of reproductive age. Almost half of the migrants are women and most of these women are of reproductive age As both urban and rural Chinese have become more aware of privacy concerns, conducting face-toface interviews has become increasingly difficult. Computer techniques like CAPI and the internet are widely used in survey implementation These provide more options for conducting interviews, assist with quality control, and improve survey data quality. In an effort to address emerging issues and new challenges while taking advantage of the latest developments in survey technology and effectively utilizing existing resources, the design and implementation of CFS 2017 were somewhat different than those of previous national surveys. This paper will examine the design, implementation, and data checking and weight construction of CFS 2017 to provide information on the survey process and to assess the procedures and data quality
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