Multivariate Analysis with LISREL

Authors: Karl G. Jöreskog, Ulf H. Olsson, Fan Y. Wallentin



Presents both theory and practical implementation of multivariate statistical analysis in LISREL

Illustrates all methods and procedures on numerous examples with detailed explanations

Appeals to graduate students as well as researchers from the social, behavioral and economic sciences

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program. It presents not only the typical uses of LISREL, such as confirmatory factor analysis and structural equation models, but also several other multivariate analysis topics, including regression (univariate, multivariate, censored, logistic, and probit), generalized linear models, multilevel analysis, and principal component analysis. It provides numerous examples from several disciplines and discusses and interprets the results, illustrated with sections of output from the LISREL program, in the context of the example. The book is intended for masters and PhD students and researchers in the social, behavioral, economic and many other sciences who require a basic understanding of multivariate statistical theory and methods for their analysis of multivariate data. It can also be used as a textbook on various topics of multivariate statistical analysis.

Table of contents

Front Matter
Pages i-xv

Getting Started
Pages 1-33

Regression Models
Pages 35-133

Generalized Linear Models
Pages 135-169

Multilevel Analysis
Pages 171-235

Principal Components (PCA)
Pages 237-256

Exploratory Factor Analysis (EFA)
Pages 257-282

Confirmatory Factor Analysis (CFA)
Pages 283-339

Structural Equation Models (SEM) with Latent Variables
Pages 341-378

Analysis of Longitudinal Data
Pages 379-426

Multiple Groups
Pages 427-467

Appendix A: Basic Matrix Algebra and Statistics
Pages 469-480

Appendix B: Testing Normality
Pages 481-485

Appendix C: Computational Notes on Censored Regression
Pages 487-490

Appendix D: Normal Scores
Pages 491-491

Appendix E: Asessment of Fit
Pages 493-502

Appendix F: General Statistical Theory
Pages 503-521

Appendix G: Iteration Algorithms
Pages 523-533

Back Matter
Pages 535-557