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During the last thirty
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
applications.
- LISREL for structural
equation modeling.
- PRELIS for data manipulations and basic statistical
analyses.
- MULTILEV for hierarchical linear and non-linear
modeling.
- SURVEYGLIM for generalized linear modeling.
- CATFIRM for formative inference-based recursive
modeling for categorical response variables.
- CONFIRM for formative
inference-based recursive modeling for continuous
response variables.
- MAPGLIM for generalized
linear modeling for multilevel data. New!
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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
response variables.
SURVEYGLIM fits Generalized LInear
Models (GLIMs) to data from simple random and complex survey
designs.
Models for the following sampling distributions are available.
CATFIRM implements formal inference-based
recursive modeling for categorical outcome variables.
CONFIRM implements formal inference-based
recursive modeling for continuous outcome variables.
MAPGLIM implements the Maximum A Priori (MAP) method to fit generalized linear models to multilevel data.
