CRS Samples is designed to assist project teams in determining appropriate sample sizes for quantitative data collection. It simplifies complex statistical methods from prior works to make them more accessible and applicable to CRS’s operational context. The guide provides a decision tree for selecting the appropriate sample size equation based on the selected data collection methods and the statistical rigor needed. It covers key considerations such as data loss, attrition, clustering, and stratification. Additionally, it addresses myths surrounding sample size determination and discusses advanced topics like the finite population correction factor, panel datasets, and population proportional to size sampling. The guide includes practical tools like Excel-based calculators and R scripts to facilitate accurate computations. It serves as a crucial reference for CRS’s Monitoring, Evaluation, Accountability, and Learning (MEAL) staff to enhance the accuracy of project monitoring and evaluation measures. 

Master sample size calculations with CRS’s expert guide! Simplified equations, practical tools, and key insights for efficient M&E planning.