
During the last thirty
eight 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 nonlinear
modeling.
 SURVEYGLIM for generalized linear modeling.
 MAPGLIM for generalized
linear modeling for multilevel data.



The 32bit application LISREL is intended
for:
 Standard structural equation modeling
 Multilevel structural equation
modeling
These methods are available for the following
data types:
 Complete and incomplete complex survey
data on categorical and continuous variables
 Complete and incomplete simple random
sample data on categorical and continuous variables
PRELIS is a 32bit application which can
be used for:
 Data manipulation
 Data transformation
 Data generatiion
 Computing moment matrices
 Computing asymptotic covariance matrices of sample moments
 Imputation by matching
 Multiple imputation
 Multiple linear regression
 Logistic regression
 Univariate and multivariate censored regression
 ML and MINRES exploratory factor analysis
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.
 Multinomial
 Bernoulli
 Binomial
 Negative Binomial
 Poisson
 Normal
 Gamma
 Inverse Gaussian
MAPGLIM implements the Maximum A Priori (MAP) method to fit generalized linear models to multilevel data.
 LISREL 9 is Compatible with Windows 10. It has been tested on
Windows 10 and no
problems were reported.


 LISREL 9 is Compatible with Windows 8. It has been tested on
Windows 8 and no
problems were reported.


 LISREL for Windows is Compatible with Windows 7. It has successfully passed
Microsoft designed tests for compatibility and reliability on Windows 7. It can
be used on both the 32bit and 64bit editions. Compatible with Windows 7
products install without worry and run reliably with Windows 7.


