2010•Unpublished venueRequires access

Sample size design and empirical research based on PPS and stratified sample survey

Ma Shi-xiao, Dong Wen-yan, Tong Wang, Xi Qiu-hong

Open publisher page 1 citations

Abstract

This paper discusses the significance of appropriate researchment selection of the sample size, introduces the basic concept and the organizations of the PPS and stratified sample survey, combines with the factors affecting sample size, sampling error, confidence and survey funds, which to design the sample size of the PPS and stratified sample survey. Through the empirical analysis of a large-scale survey of a province, the paper draws the sampling error and confidence can be only considered to the design of the sample size for survey in practice. It also shows that the province adopted 5,000 samples for survey is scientific rationality.

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What this paper is about

This paper discusses the significance of appropriate researchment selection of the sample size, introduces the basic concept and the organizations of the PPS and stratified sample survey, combines with the factors affecting sample size, sampling error, confidence and survey funds, which to design the sample size of the PPS and stratified sample survey. Through the empirical analysis of a large-scale survey of a province, the paper draws the sampling error and confidence can be only considered to the design of the sample size for survey in practice. It also shows that the province adopted 5,000 samples for survey is scientific rationality.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper discusses the significance of appropriate researchment selection of the sample size, introduces the basic concept and the organizations of the PPS and stratified sample survey, combines with the factors affecting sample size, sampling error, confidence and survey funds, which to design the sample size of the PPS and stratified sample survey. Through the empirical analysis of a large-scale survey of a province, the paper draws the sampling error and confidence can be only considered to the design of the sample size for survey in practice. It also shows that the province adopted 5,000 samples for survey is scientific rationality.

Key concepts: Sample size determination, Stratified sampling, Sample (material), Survey research, Survey sampling, Sampling design, Survey methodology, Sampling (signal processing)

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