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Title
Multivariate analysis with LISREL / Karl G. Jöreskog, Ulf H. Olsson, Fan Y. Wallentin.
ISBN
9783319331539 (electronic book)
3319331531 (electronic book)
9783319331522
3319331523
Published
[Cham] : Springer, 2016.
Language
English
Description
1 online resource.
Call Number
QA278
Dewey Decimal Classification
519.5/35
Summary
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (viewed November 1, 2016)
Series
Springer series in statistics.
Preface
Getting Started
Regression Models
Generalized Linear Models
Multilevel Analysis
Principal Components (PCA)
Exploratory Factor Analysis (EFA)
Confirmatory Factor Analysis(CFA)
Structural Equation Models (SEM) with Latent Variables
Analysis of Longitudinal Data
Multiple Groups
Appendix
Basic Matrix Algebra and Statistics
Testing Normality
Computational Notes on Censored Regression
Normal Scores
Assessment of Fit
General Statistical Theory
Iteration Algorithms
References. .
