In order to generalize the results of a study to a larger population, data must be collected from a sample which is sufficiently large and is representative of the population. Simple Random Sampling (SRS) is the most basic and common approach to sampling. Researchers select the sample from a list of all members of the population through a process that ensures equal chances of selection. Unfortunately, SRS can be inefficient in many cases—it can be overly expensive and imprecise. For instance,
In these cases and in others, SRS is no longer an efficient way of selecting a representative sample from a defined population. The data collection process must be fine-tuned with more advanced survey designs to maintain costs and increase precision. Our trained statisticians at Elite Research can help you determine appropriate sample sizes and design a more efficient data-collection scheme that will match your research needs while balancing precision and cost.