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Large Country-Lot Quality Assurance Sampling:A New Method for Rapid Monitoring and Evaluation of Health, Nutrition and Population Programs at Sub-National Levels

Authors: 
Bethany L. Hedt,
Casey Olives,
Marcello Pagano,
Joseph J. Valadez
Organizational Authors: 
World Bank Group
Year Published: 
2008

Cluster sampling is typically used for national or large area surveys because sampling in clusters lowers the cost of a survey. Lot Quality Assurance Sampling (LQAS) is used to measure results at a local level, since it requires small random samples and produces results useful to local managers. However, current LQAS methodology requires all local areas (strata) be included in the survey in order to be aggregated to produce point estimates for the nation or state. In large countries it is not feasible to sample all strata for logistical and financial reasons. This paper resolves this problem by presenting Large Country-Lot Quality Assurance Sampling (LC-LQAS), a method with two concurrent objectives: (1) provide local managers with accurate local information to enable data driven decisions, and (2) provide central policy makers with the aggregate information
they require.

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