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Published on: January 7, 2019
[Application of a simple random sampling method on surveys at the community level]
Jun Lv1, Qing-min Liu, Yan-jun Ren
1Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Summary
Simple random sampling is feasible for community surveys using electronic listings, but data quality depends on accurate, up-to-date household information. Improving electronic listings is crucial for reliable survey results.
Area of Science:
- Community health surveys
- Sampling methodologies
- Public health research
Background:
- Community-level surveys are essential for public health.
- Evaluating sampling feasibility and quality is critical for reliable data.
- Electronic household listings offer a basis for sampling but require scrutiny.
Purpose of the Study:
- To assess the feasibility of simple random sampling in community surveys.
- To evaluate the quality and representativeness of samples obtained through this method.
- To identify challenges and areas for improvement in community-based survey sampling.
Main Methods:
- Simple random sampling of households using electronic listings in two districts.
- KISH method to select one adult (18-64 years) for questionnaire survey.
- Targeted sample size of over 500 individuals per district.
Main Results:
- Response rates varied: 53.8% in Xiacheng and 36.7% in Gongshu.
- Key non-response reasons included ineligible age, relocation, and listing errors (38.3%-43.5%).
- Sampled populations showed no significant age/gender differences from household populations but a more aged structure than the city's general population.
Conclusions:
- Simple random sampling is feasible in geographically limited areas with electronic listings.
- Sufficient time during household visits aids in obtaining representative samples.
- Urgent improvements in timeliness, completeness, and accuracy of electronic household listings are needed.
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