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Improving nutrition programmes through the promotion of quality coverage assessment tools, capacity building and information sharing.

Small studies and surveys

SQUEAC uses small studies, small surveys and small-area surveys to test hypotheses during Stage 2. Small studies: Small studies are usually short, semi-quantitative pieces of work that focus on testing a single hypothesis. The hypothesis being tested during a small study generally relates to processes affecting coverage rather than coverage itself. The sampling and study design are directed by the hypothesis itself. Small surveys: Small sample surveys are undertaken in population groups which are hypothesised to have high or low coverage (eg. agrarians and pastoralists, Christians and Muslims). Data from small surveys can be analysed using the the simplified LQAS classification technique outlined in the next section: Stage 2: Analysis of findings. Small area surveys: Small-area surveys are small sample size surveys used to test hypotheses regarding the spatial distribution of coverage. Sample sizes for small surveys and small-area surveys should not be calculated in advance. The sample size is the number of cases found by the survey. Small surveys and small-area surveys use the same in-community sampling and data-collection methods as Stage 3 of a SQUEAC survey. Surveyors can undertake either active and adaptive or door-to-door case finding depending on the context. This guide outlines which data collection techniques to use and how they should be undertaken.  Source:
  • Myatt. M, Guevarra. E, Fieschi. L, Norris. A, Guerrero. S, Schofield. L, Jones. D, Emru. E and Sadler. K , 2012. Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) / Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Technical Reference, available to download here.