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Simple analytic procedures for rapid microcomputer-assisted cluster surveys in developing countries.

R R Frerichs1

  • 1School of Public Health, University of California, Los Angeles 90024-1772.

Public Health Reports (Washington, D.C. : 1974)
|January 1, 1989
PubMed
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Rapid survey methodology (RSM) offers a faster way to analyze data in developing countries. This approach uses simple, computer-assisted procedures for planning and conducting rapid cluster surveys.

Area of Science:

  • Public Health
  • Survey Methodology
  • Developing Countries

Background:

  • Routine data sources are often inadequate for policy questions in developing nations.
  • Survey data analysis can be a bottleneck, delaying crucial insights.
  • Microcomputers and software enable faster survey data processing and analysis.

Purpose of the Study:

  • To present three analytic procedures for rapid cluster surveys.
  • To enable quicker data processing, analysis, and reporting in developing countries.
  • To facilitate the use of rapid survey methodology (RSM) for policy-relevant research.

Main Methods:

  • Development of three simple analytic procedures for two-stage, rapid cluster surveys.
  • Utilization of spreadsheet and graphics software for data analysis.

Related Experiment Videos

  • Application of probability proportionate to size for first-stage cluster selection.
  • Calculation of variance estimates, confidence intervals, and sample sizes.
  • Training local health professionals in survey methods through workshops.

    • Main Results:

    • Successful implementation of the three procedures in rapid surveys in Burma and Thailand.
    • Demonstration of efficient data analysis, including variance estimation and graphical presentation of confidence intervals (90%, 95%, 99%).
    • Validation of the methods for planning sample sizes in two-stage surveys.

    Conclusions:

    • The presented procedures effectively support rapid computer-assisted surveys in developing countries.
    • RSM, utilizing these methods, can significantly expedite the analysis and reporting of survey findings.
    • The procedures are suitable for both field application and educational purposes in survey methods training.