CHES (Certified Health Education Specialist) Practice Exam 2026 – Your All-in-One Guide to Exam Success!

In a non-proportional stratified random sampling method, sampling units are selected with the intention of ensuring equal representation across the identified strata. This means that researchers deliberately choose the same number of sampling units from each strata regardless of the actual size of the strata in the population. This approach is particularly useful when the focus is on specific subgroups within the population and the goal is to ensure that each subgroup is adequately represented in the sample for comparative analysis.

The method is designed to allow for an in-depth analysis of each subgroup, providing a richer understanding of the variations within the population. This emphasis on equal representation is what differentiates non-proportional from proportional stratified sampling, where the number of units sampled from each strata corresponds to their proportion in the overall population.