China Family Panel Studies (CFPS)

Institute of Social Science Survey, Peking University

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CFPS Project Office (Institute of Social Science Survey, Peking University)

CFPS Project Office (Institute of Social Science Survey, Peking University) http://www.isss.pku.edu.cn/cfps/en

CFPS Project Office (Institute of Social Science Survey, Peking University)

2015-11-23

Please visit CFPS official data platform to download the newest data, WeChat official account of CFPS: ISSS_CFPS. The CFPS 2010 baseline survey conducted face-to-face interviews with the sampled households’ family members who live in the sample communities. It also interviewed those family members who were elsewhere in the same county. For those who were not present at home at the time of interview, basic information was collected from their family members at presence. All family members who had blood/marital/adoptive ties with the household were identified as permanent respondents. Prospective family members including new-borns and adopted children.

Social Sciences

Survey Data

Start: 2010

Start: 2010-04-01 ; End: 2010-09-15
Start: 2012-07-12 ; End: 2013-03-04
Start: 2014-07-04 ; End: 2015-06-07

Peking University
National Natural Science Foundation of China

Blaise, Version: 4.8
SAS, Version: 9.1, 9.2

个人、家庭、社区/村居、区县

CFPS 的样本覆盖中国除香港、澳门、台湾、新疆、青海、内蒙古、宁夏和海南之外的25个省/市/自治区的人口。这 25个省/市/自治区的人口约占全国总人口（不含港、澳、台）的 95%，因此，CFPS 的样本可以视为一个全国代表性样本。

面板

北京大学中国社会科学调查中心

两年一次

The sample of CFPS is drawn from 25 provinces/cities/autonomous regions in China excluding Hong Kong, Macao, Taiwan, Xinjiang, Qinghai, Inner Mongolia, Ningxia, and Hainan. The population of these 25 provinces/cities/autonomous regions in China (excluding Hong Kong, Macao, and Taiwan) covers 95% of the Chinese total population. Thus, CPFS can be regarded as a nationally representative sample.

The original target sample size was 16,000 households. Half of the sample (8,000) was generated by oversampling with five independent sampling frames (called “large provinces”) of Shanghai, Liaoning, Henan, Gansu, and Guangdong. Each of the subsample had 1,600 households. The other half 8,000 households were from an independent sampling frame composed of 20 provinces (called “small provinces”). The “large provinces” were representative at the regional level, which could contribute to provincial population inferences and cross-region comparisons. With a second-stage sampling, the five “large provinces”, together with “small provinces”, made up the overall sampling frame representative of the national population.

Taking the reginal differences in Chinese society and the reduction of survey processing cost into consideration, CFPS implemented Probability-Proportional-to-Size Sampling (PPS) with implicit stratification. Administrative units and socioeconomic status (SES) are used as the main stratification variables. Within the administrative unit, local GDP per capita was used as the ordering index for SES. If the GDP per capita in the administrative unit is not available, the proportion of nonagricultural population or population density is used alternatively.

All the sub-sampling frames of CFPS were obtained through three stages: the Primary Sampling Unit (PSU) was administrative districts/counties, the Second-stage 18 Sampling Unit (SSU) was administrative villages/neighborhood communities, and the third-stage (Ultimate) Sampling Unit (TSU) was households. In the first and Second stages, CFPS used official administrative divisions for the sample selection. The third sampling stage is a systematic selection of housing units from street listing with random starting point and equal probability method.

For detailed information of sampling design, Please visit CFPS Web site.

面访、电访、计算机辅助面访调查、计算机辅助电访调查、混合模式访问

结构化

CFPS2010 年基线调查采用了严格的质量控制手段以保证数据的质量。针对问卷设计不当、末端抽样不准确、访员行为不规范、数据汇总和整理过程出错等一系列可能影响数据质量的因素，通过电话核查、实地核查、录音核查、采访过程回放、数据统计分析等手段进行了监控与干预。

The CFPS 2010 provided weights for family, adult, and child data sets for national full sample and national representative sample. The national full sample weight is the combined weights of five “large provinces” (Shanghai, Henan, Gansu, Liaoning, and Guangdong) and one “small province” (other provinces among 25 provinces/cities/autonomous regions). The national representative sample weight is the combined resample weights of the five “large provinces” and “small provinces”. Given the basic weights design, we calculated weights at all three levels of data—communities, families, and individuals. Data users are provided with three types of weights: sampling design weights, non-response adjustment weights, post-hoc stratification adjustment weights, and trimming of the weights.

The use of weights is associated with data users’ target population and types of data sets. For detailed calculation methods of the weights and the weighted analysis results of each CFPS data set, Please visit CFPS Web site.

逻辑一致性核查、极值核查、 文字信息再编码

家户层面累积应答率为 81.25%，合作率为 96.58%，联系率为 84.13%，拒绝率为 2.67%；个人层面应答率为 84.14%，合作率为 87.01%，联系率为 96.7%，拒绝率为 8.47%

Individual, Household, Community/Village, County

The target sample of CFPS consists of 16,000 households in 25 provinces/municipalities/autonomous regions in China (excluding Hong Kong, Macao, Taiwan, Xinjiang, Tibet, Qinghai, Inner Mongolia, Ningxia and Hainan), representing 95% of the Chinese population.

Panel

Institute of Social Science Survey, Peking University

Biennially

The sample of CFPS is drawn from 25 provinces/cities/autonomous regions in China excluding Hong Kong, Macao, Taiwan, Xinjiang, Qinghai, Inner Mongolia, Ningxia, and Hainan. The population of these 25 provinces/cities/autonomous regions in China (excluding Hong Kong, Macao, and Taiwan) covers 95% of the Chinese total population. Thus, CPFS can be regarded as a nationally representative sample.

The original target sample size was 16,000 households. Half of the sample (8,000) was generated by oversampling with five independent sampling frames (called “large provinces”) of Shanghai, Liaoning, Henan, Gansu, and Guangdong. Each of the subsample had 1,600 households. The other half 8,000 households were from an independent sampling frame composed of 20 provinces (called “small provinces”). The “large provinces” were representative at the regional level, which could contribute to provincial population inferences and cross-region comparisons. With a second-stage sampling, the five “large provinces”, together with “small provinces”, made up the overall sampling frame representative of the national population.

Taking the reginal differences in Chinese society and the reduction of survey processing cost into consideration, CFPS implemented Probability-Proportional-to-Size Sampling (PPS) with implicit stratification. Administrative units and socioeconomic status (SES) are used as the main stratification variables. Within the administrative unit, local GDP per capita was used as the ordering index for SES. If the GDP per capita in the administrative unit is not available, the proportion of nonagricultural population or population density is used alternatively.

All the sub-sampling frames of CFPS were obtained through three stages: the Primary Sampling Unit (PSU) was administrative districts/counties, the Second-stage 18 Sampling Unit (SSU) was administrative villages/neighborhood communities, and the third-stage (Ultimate) Sampling Unit (TSU) was households. In the first and Second stages, CFPS used official administrative divisions for the sample selection. The third sampling stage is a systematic selection of housing units from street listing with random starting point and equal probability method.

For detailed information of sampling design, Please visit CFPS Web site.

Face-to-face interview, Telephone interview, Computer-assisted personal interview (CAPI), Computer-assisted telephone interview (CATI), Mixed mode

Structured

Follow-up visits, Supervisory checks, Historical matching, etc.

Strict measures of the quality control were applied in the 2010 CFPS baseline survey to ensure the quality of the data. For the factors that may affect the data quality, such as the improper designs of the questionnaires, inaccurate terminal-stage sampling, irregular behaviors of the interviewers, mistakes in data collection, and compilation processes, we applied different methods of monitoring and intervention, including telephone check, field check, audio record check, interview reviews, statistical analyses, and so on.

The CFPS 2010 provided weights for family, adult, and child data sets for national full sample and national representative sample. The national full sample weight is the combined weights of five “large provinces” (Shanghai, Henan, Gansu, Liaoning, and Guangdong) and one “small province” (other provinces among 25 provinces/cities/autonomous regions). The national representative sample weight is the combined resample weights of the five “large provinces” and “small provinces”. Given the basic weights design, we calculated weights at all three levels of data—communities, families, and individuals. Data users are provided with three types of weights: sampling design weights, non-response adjustment weights, post-hoc stratification adjustment weights, and trimming of the weights.

The use of weights is associated with data users’ target population and types of data sets. For detailed calculation methods of the weights and the weighted analysis results of each CFPS data set, Please visit CFPS Web site.

Consistency checking, Wildcode checking, Text recoding

At the household level, the response rate, cooperation rate, contact rate, refusal rate are 81.25%, 96.58%, 84.13%, 2.67%, respectively; at the individual level, the rates are 84.14%, 87.01%, 96.7%, and 8.47%, respectively.