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Multivariate Analysis with LISREL [electronic resource] / by Karl G. Jöreskog, Ulf H. Olsson, Fan Y. Wallentin.

By: Contributor(s): Material type: TextTextSeries: Springer Series in StatisticsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XV, 557 p. 155 illus., 89 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319331539
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 519.5 23
LOC classification:
  • QA276-280
Online resources:
Contents:
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.   .
In: Springer eBooksSummary: 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.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
E-BOOKS ISI Library, Kolkata Not for loan EB1702
Total holds: 0

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.   .

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.

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