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Considering a designing effect of 1.3, the sample size for the nutritional survey was estimated to be 499.
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Assuming a design effect due to clustering of patients within general practice of 1.2, an effective sample size of approximately 1000 would be obtained.
Due to the multistage nature of the study, a design effect of 2 was considered.
As the extent of a design effect was unknown, simple random sample statistics were not used.
Based on this consideration and observations we made on the study population, a design effect of 1.5 is used.
This study used a multistage sampling procedure, and hence, the calculated sample size is multiplied by a design effect based on Cochran (1977) and Daniel (1999).
Sample size was determined for key objectives based on the most conservative prevalence estimate of 50%%; calculations assumed 80%% power and a design effect of 2.0.
"Clearly, the reported margin of error due to sampling, even when including a design effect (which purports to capture the added uncertainty of weighting), doesn't even come close to capturing total survey error," Cohn states. .
Since all heath care facilities were included in the sample, we assumed a design effect of 1.
This study had 80% power to detect an effect size of 1.8 or greater in the absence of a design effect.
Sample size was estimated assuming the lowest estimate of malaria prevalence at 2% with a precision of 1.5%, at 95% confidence interval with a design effect of two.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com