Sample size calculation for prevalence studies using Scalex and ScalaR calculators

Background: Although books and articles guiding the methods of sample size calculation for prevalence studies are available, we aim to guide, assist and report sample size calculation using the present calculators. Results: We present and discuss four parameters (namely level of confidence, precision, variability of the data, and anticipated loss) required for sample size calculation for prevalence studies. Choosing correct parameters with proper understanding, and reporting issues are mainly discussed. We demonstrate the use of a purposely-designed calculators that assist users to make proper informed-decision and prepare appropriate report. Conclusion: Two calculators can be used with free software (Spreadsheet and RStudio) that benefit researchers with limited resources. It will, hopefully, minimize the errors in parameter selection, calculation, and reporting. The calculators are available at: (https://sites.google.com/view/sr-ln/ssc).

Automated summary

This article introduces the methods and important parameters for sample size calculation in prevalence studies using calculators. It discusses the correct selection of parameters and reporting issues. By demonstrating the use of a purposely-designed calculator, it helps researchers make informed decisions and prepare appropriate reports.