On Treating A Survey Of Convenience Sample As A Simple Random Sample
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Published
Aug 10, 2023
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W. Gregory Thatcher
Department of Health, University of West Florida
J. Wanzer Drane
Department of Epidemiology & Biostatistics, University of South Carolina
Abstract
Threat of bias has kept many from using data gathered in less than optimal conditions. We maintain that when convenience sampling represents race and gender at nearly correct proportions and can be beneficial, as these two variables are quite often used as stratification variables. We compared a convenience sample with a proven sample. Race and Sex were nearly proportional as was found in the proven sample. We conclude that the convenience sample can be used as though it is simple random.
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