HLM - Hierarchical Linear and Nonlinear Modeling
Hierarchical linear and nonlinear models (also called multilevel models) have been developed to allow for the study of relationships at any level in a single analysis, while not ignoring the variability associated with each level of the hierarchy. It is suitable for use with data from any research field that have a hierarchical structure. The program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship between the expectation of the outcome and a linear combination of a set of explanatory variables.
Scientific Software International, Inc.
P.O. Box 4728
Skokie, IL 60077 USA