Many modern surveys use computer-based methods to calculate variances of estimates. This chapter describes methods for variance estimation in current use, including linearization, random group methods, jackknife, bootstrap, balanced repeated replication, and generalized variance functions—why they work and how to use them. Computer-intensive methods such as jackknife, bootstrap, and balanced repeated replication calculate the variance by computing multiple estimates from subsets of the survey data.