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Introduction
China Family Panel Studies (CFPS) is a nationally representative, biennial longitudinal survey of Chinese communities, families, and individuals launched in 2010 by the Institute of Social Science Survey (ISSS) of Peking University, China. The CFPS is designed to collect individual-, family-, and community-level longitudinal data in contemporary China. The studies focus on the economic, as well as the non-economic, wellbeing of the Chinese population, with a wealth of information covering such topics as economic activities, education outcomes, family dynamics and relationships, migration, and health. The CFPS is funded by the Chinese government through Peking University. The CFPS promises to provide to the academic community the most comprehensive and highest-quality survey data on contemporary China.
The sample for the 2010 CFPS baseline survey through a multi-stage probability is drawn with implicit stratification. It is designed to be multi-stage so as both to reduce the operational cost of the survey and to allow for studies of social contexts. Each subsample in the CFPS study is drawn through three stages: county (or equivalent), then village (or equivalent), then household.
Interviews are conducted using computer assisted personal interviewing (CAPI) or computer assisted telephone interviewing (CATI) technology,. The computer assisted interviews enable the researchers to implement complex questionnaire designs tailored to each member of the household and reduces measurement error while at the same time allowing the management team at the ISSS to closely monitor the quality of the interviews in the field.
A large number of dedicated staff have made tremendous efforts and selfless contributions to the CFPS. The achievements of the CFPS are the result of collective wisdom and hard work, involving experts and scholars from various professional fields across domestic and international institutions, diligent personnel responsible for survey implementation, a reliable data team providing high-quality and user-friendly data, and field interviewers working tirelessly on the front lines.