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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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The 32-bit 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 continuous variables
- Complete and incomplete simple random
sample data on ordinal and continuous variables
PRELIS is a 32-bit 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
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.
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- LISREL workshop
by Professors Mueller and Hancock (introductory): September
22-24, 2010, Chicago.New!
- SEM
Workshop: May 10–14, 2010, by Ronald Rogge, SUNY at
Buffalo North Campus, Buffalo, New York.New!
- Structural
Equation Modeling: Foundations and Extended Applications
Workshop: June 7-11, 2010 by Todd D. Little and Noel A.
Card, Lawrence, Kansas.New!
- Structural
Equation Modeling: Advanced Longitudinal Modeling Workshop:
June 14-18, 2010 by Todd D. Little, Lawrence, Kansas.New!
- Multilevel
Modeling: Foundations and Applications Workshop: June 7-11,
2010 by Kristopher J. Preacher andJames P. Selig, Lawrence,
Kansas.New!
- A new book featuring
LISREL in Chinese: Structural Equation Modeling Theory and
Application.
- International Journal
of LISREL published in Chinese, in Taiwan.
- A new book
featuring LISREL in the Indonesian language: Structural
Equation Modeling with LISREL 8.8 by Setyo Wari Wijanto.
- A
new book featuring LISREL: Structural equation modeling:
a second course.
- LISREL 8.8 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.
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