The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States in 1994-95 that has been followed through adolescence and the transition to adulthood with four in-home interviews. The Add Health study design used a clustered sample in which the clusters were sampled with unequal probability. While reducing the cost of data collection, this design complicates the statistical analysis because the observations are no longer independent and identically distributed. To analyze the data correctly requires the use of special survey software packages specifically designed to handle observations that are not independent and identically distributed. The purpose of this document is to provide guidelines to correctly analyze the Add Health data. To do this, we describe the characteristics of the Add Health sample design and data elements needed by the survey software packages. We next identify a series of common errors to avoid when analyzing the Add Health data. Lastly, we provide examples of different types of analysis using various survey software packages.