During the last forty five years, the LISREL model, methods and software have become
synonymous with structural equation modeling (SEM).
SEM allows researchers in the social sciences, management
sciences, behavioral sciences, biological sciences,
educational sciences and other fields to empirically
assess their theories. These theories are usually formulated
as theoretical models for observed and latent (unobservable)
variables. If data are collected for the observed variables
of the theoretical model, the LISREL program can be
used to fit the model to the data.
Today, however, LISREL
for Windows is no longer limited to SEM. The latest
LISREL for Windows includes the following statistical
- LISREL for structural
- PRELIS for data manipulations and basic statistical
- MULTILEV for hierarchical linear and non-linear
- SURVEYGLIM for generalized linear modeling.
- MAPGLIM for generalized
linear modeling for multilevel data.
MULTILEV fits multilevel linear and nonlinear
models to multilevel data from simple random and complex survey
designs. It allows for models with continuous and categorical
SURVEYGLIM fits Generalized LInear
Models (GLIMs) to data from simple random and complex survey
Models for the following sampling distributions are available.
MAPGLIM implements the Maximum A Priori (MAP) method to fit generalized linear models to multilevel data.