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METHODOLOGY
Katz J. Sample-size implications for population-based cluster surveys of
nutritional status. American Journal of Clinical Nutrition 61(1),155-60,
1995.
Abstract: We studied the design effects
for population-based surveys that estimated the prevalence of wasting and
stunting malnutrition in Malawi, Zambia, Indonesia, and Nepal, and studied the
magnitude of different types of malnutrition clustering within villages. Weight,
height, and midupper-arm circumference were measured on all children or on
systematic samples of children in randomly selected villages. Design effects
ranged from 0.53 for low height-for-age in Zambia to 6.12 for low weight-for-age
in Nepal. If all sampled clusters were of size 30, as is often the case for
nutrition surveys, design effects would have ranged from 0.44 for low
height-for-age in Zambia to 2.59 for low midupper-arm circumference in Zambia.
Malnutrition did cluster within villages. Stunting malnutrition clustered less
than did wasting malnutrition. Nutrition surveys using clusters of 30 can sample
fewer clusters than currently recommended if basic prevalence and cluster
information are available prior to sample selection.
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