LISREL – A brief overview

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 non-linear modeling.
SURVEYGLIM for generalized linear modeling.
MAPGLIM for generalized linear modeling for multilevel data.

LISREL

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

PRELIS 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

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

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

MAPGLIM implements the Maximum A Priori (MAP) method to fit generalized linear models to multilevel data.

LISREL News

A book featuring LISREL in Chinese: Structural Equation Modeling Theory and Application.
A book featuring LISREL in the Indonesian language: Structural Equation Modeling with LISREL 8.8 by Setyo Wari Wijanto.
A book featuring LISREL: Structural equation modeling: a second course.
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 32-bit and 64-bit editions. Compatible with Windows 7 products install without worry and run reliably with Windows 7.