Researchers often use sample survey methodology to obtain information about a large population by selecting and measuring a sample from that population. Due to variability among items, researchers apply scientific probability-based designs to select the sample. This reduces the risk of a distorted view of the population and enables statistically valid inferences to be made from the sample. The survey analysis procedures in SAS/STAT software properly analyze complex survey data by taking into account the sample design. These procedures can be used for multistage or single-stage designs, with or without stratification, and with or without unequal weighting.
Below are highlights of the capabilities of the SAS/STAT procedures that perform survey sampling and analysis: