• LISREL 用于處理結構方程模型(structural equation modeling)。

• PRELIS 用于基本的數據處理和簡單的統計分析。

• MULTILEV 用于線性和非線性階層模型分析(hierarchical linear and non-linear modeling)。

• SURVEYGLIM 用于廣義線性模型(generalized linear modeling)的分析和處理。.

• MAPGLIM 用于廣義分層線性模型(generalized linear modeling for multilevel data)的處理。

LISREL

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 categorical and continuous variables
• Complete and incomplete simple random sample data on categorical and continuous variables

PRELIS

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

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.