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Overview
 

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 is no longer limited to SEM. LISREL 10 includes the 64-bit statistical applications LISREL, PRELIS, MULTILEV, SURVEYGLIM and MAPGLIM.

  

 
LISREL
 

LISREL is a 64-bit application for standard and multilevel structural equation modeling. These methods are available for the complete and incomplete complex survey data on categorical and continuous variables as well as complete and incomplete simple random sample data on categorical and continuous variables.

 
PRELIS
 

PRELIS is a 64-bit application for data manipulation, data transformation, data generation, computing moment matrices, computing estimated asymptotic covariance matrices of sample moments, imputation by matching, multiple imputation, multiple linear regression, logistic regression, univariate and multivariate censored regression, and ML and MINRES exploratory factor analysis.

 
MULTILEV
 

MULTILEV is a 64-bit application that 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
 

SURVEYGLIM is a 64-bit application that fits Generalized LInear Models (GLIMs) to data from simple random and complex survey designs. Models for the Multinomial, Bernoulli, Binomial, Negative Binomial, Poisson, Normal, Gamma, and Inverse Gaussian sampling distributions are available.

MAPGLIM
 

MAPGLIM is a 64-bit application that implements the Maximum A Priori (MAP) method to fit generalized linear models to multilevel data.

 
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Compatibility
 

LISREL 10 is compatible with Windows 10. It has been tested on Windows 10 and no problems were reported.

 

LISREL 10 is compatible with Windows 8. It has been tested on Windows 8 and no problems were reported.

 

LISREL 10 is compatible with Windows 7. It has been tested on Windows 7 and no problems were reported.