中国人民大学 抽样设计 2010综合社会抽样调查方案.ppt

Sampling Design Self-representative Beijing, Shanghai, Guangzhou, Shenzhen, Tianjin; The samples are all urban households; Primary sampling units (PSUs) are sub-districts in the five cities above; We use PPS to select 40 sub-districts as the PSUs in this stratum. Sampling Design Stage 1 Stage 2 Stage 3 PPS Selects 40 city sub-districts in five cities PPS Selects 2 neighborhood committees from each selected sub-districts Systematic sampling Selects 25 households as the ultimate sampling units Sampling frame of the second stage: list of neighborhood committees in the sub-districts selected in the first stage; In the third stage, the households are ranged by house number; We’ll sample 50 households in each neighborhood committee in case of the nonresponce; Deliver the questionnaire in batches based on the response rate. Sampling Design Sample Distribution of Self-representative Area PSU Neighborhood committees Target sample size alternate sample size Self-representative 40 40×2=80 40×2×25 =2000 40×2×50=4000 Sampling Design Selected stratum According to The China 2009 Statistical Yearbook , there are 792 districts and 2,003 counties left in the selected category. Based on the population density, the rate of non-agricultural population and per capita Gross Regional Product, stratify the unites in selected category into fifty strata ( 19 district strata and 31 county strata). Select 2 PSUs in each stratum, resulting a total of 100 PSUs Sampling Design Deducting the 2,000 urban households in the self-represent, the urban-rural ratio in 抽选层 should be 5,200:4,800, i.e. the ratio of neighborhood committees to villagers committees is about 208:192. Challenge how to determine the distribution of samples between urban and rural areas in each PSUs Deducting the 2,000 urban households in self-representative, the urban-rural ratio in selected category should be 5,200:4,800 We can calculate that the ratio of neighborhood committees to villagers commit