aML is intuitive and easy to learn, yet very flexible. It allows you to model complex phenomena quickly, easily, and with a minimum of programming and set-up costs. Follow the links for examples of the intuitive way to specify multilevel and multiprocess models. aML is designed for multilevel modeling. It allows for an arbitrary number of levels and for different numbers of replications at each level for each observational unit. Data may be prepared using any standard data processing package (SAS, Stata, SPSS, et cetera).