Page Comparison

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Documentation

• Graphical User Interface

• Quickstart Guide

• SIMPLIS Syntax Guide

• PRELIS Syntax Guide

• LISREL Syntax Guide

• Multilevel Modeling Guide

• Multilevel Generalized Linear Modeling Guide

• Analysis of Non-Normal Complex Survey Data Guide

• SIMPLIS, LISREL and PRELIS Examples

• Multilevel, Complex Survey, MGLIM and MVA Examples

FAQs for LISREL 11 and 12

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Documents discussing various theoretical aspects are listed. All these are available as PDF files and may be accessed by clicking on the appropriate link.

General information:

• Types of variables

• Types of moment matrices

• Types of correlation matrices

• The general LISREL model

• The extended LISREL model

• Methods of estimation

• Producing weight matrices and fit functions

• Problems with the analysis of correlation matrices

• Model assessment and modification

• Standardized solutions and direct, indirect, and total effects

• Threshold estimates

• Bootstrap estimates

• Imputation of missing values

• Homogeneity tests for categorical variables

• Robust standard errors and chi-squares

• Formulas for skewness and kurtosis

• Simulation with PRELIS and LISREL

• Confidence interval estimates

• Standard error estimates for standardized solutions

Continuous variable data based on a simple random sample:

• Full Information Maximum Likelihood (FIML) for Data with Missing Values

• Multiple Imputation for Data with Missing Values

• Latent Variable Scores

• Standardized Coefficients

• Equal t-values (complete example)

• The Interpretation of R2

• The Interpretation of R2 Revisited

• MINRES Exploratory Factor Analysis

• The Evaluation of Scale Reliability

• Scale Reliability for Maxima

Complete ordinal variable data based on a simple random sample:

• CFA, Structural and MIMIC Models

• LISREL Submodel 3

Complete censored variable data based on a simple random sample:

• Univariate Censored Regression

• Censored Variables and Censored Regression

• Multivariate Censored Regression

Two-stage multiple imputation SEM:

• Syntax for two stage multiple imputation SEM

• Two-stage multiple imputation SEM for continuous variables

• Two-stage multiple imputation SEM for ordinal variables

• Two-stage multiple imputation SEM for mixed correlations

Other:

• Multilevel structural equation modeling

• Multilevel nonlinear modeling

• Multilevel modeling with weights

• Structure Coefficients

• Notes by K.G. Jöreskog on ordinal data analysis in LISREL