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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.
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LISREL for structural
equation modeling.
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PRELIS for data
manipulations and basic statistical analyses.
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MULTILEV for
hierarchical linear and non-linear modeling.
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SURVEYGLIM for
generalized linear modeling.
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MAPGLIM for
generalized linear modeling for multilevel data.
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The
32-bit application LISREL is intended for:
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Standard structural equation modeling
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Multilevel structural equation modeling
These methods are available for the following data types:
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Complete and incomplete complex survey data on categorical and continuous
variables
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Complete and incomplete simple random sample data on categorical and
continuous variables
PRELIS is a 32-bit application which can be used for:
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Data manipulation
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Data transformation
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Data generatiion
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Computing moment matrices
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Computing asymptotic covariance matrices of sample moments
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Imputation by matching
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Multiple imputation
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Multiple linear regression
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Logistic regression
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Univariate and multivariate censored regression
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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.
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Multinomial
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Bernoulli
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Binomial
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Negative Binomial
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Poisson
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Normal
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Gamma
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Inverse Gaussian
MAPGLIM implements the Maximum A Priori (MAP) method to fit generalized linear
models to multilevel data.
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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.
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