Using the Data

Public-use and contractual data offer endless options in the types of analysis, choices of data, and presentation. Users of the Add Health data have found that managing such large, complex datasets can be challenging, involving complicated skip patterns, multiple response categories and choices, inter-questionnaire ID matching, and other advanced data structures. As a service to the research community, Add Health offers several resources on this Web site:

• user guides to explain weighting and biomarkers and to help with understanding and analyzing Add Health data
• program codes written in SAS and tested
• online analysis on a subset of the data. This is the easiest way to use the Add Health data; however, the number of variables and the SAS procedures available online are limited.