<mods:mods version="3.0" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3"><mods:titleInfo><mods:title>Practical Issues in Calculating the Sample Size for Prevalence Studies</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given"> </mods:namePart><mods:namePart type="family">Naing L.</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given"> </mods:namePart><mods:namePart type="family">Winn T.</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given"> </mods:namePart><mods:namePart type="family">Rusli B.N.</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The sample size calculation for a prevalence only needs a simple formula. However, there are a number of practical issues in selecting values for the parameters required in the formula. Several practical issues are addressed and appropriate recommendations are given. The paper also suggests the application of a software calculator that checks the normal approximation assumption and incorporates finite population correction in the sample size calculation.</mods:abstract><mods:classification authority="lcc">Q Science, Computer Science</mods:classification><mods:classification authority="lcc">R Medicine, Dentistry, Pharmacy, Nursing</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2006</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>School of Dental Sciences, Universiti Sains Malaysia</mods:publisher></mods:originInfo><mods:genre>Journal</mods:genre></mods:mods>