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Multivariate analysis with LISREL[electronic resource] /

Record Type:	Electronic resources : Monograph/item
[NT 15000414]:	519.535
Title/Author:	Multivariate analysis with LISREL/ by Karl G. Joreskog, Ulf H. Olsson, Fan Y. Wallentin.
Author:	Joreskog, Karl G.
other author:	Olsson, Ulf H.
Published:	Cham : : Springer International Publishing :, 2016.
Description:	xv, 557 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
Subject:	Multivariate analysis - Computer programs.
Subject:	Statistics.
Subject:	Statistical Theory and Methods.
Subject:	Statistics and Computing/Statistics Programs.
Subject:	Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Subject:	Statistics for Business/Economics/Mathematical Finance/Insurance.
Subject:	Psychometrics.
Subject:	Marketing.
ISBN:	9783319331539
ISBN:	9783319331522
[NT 15000228]:	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.
[NT 15000229]:	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.
Online resource:	http://dx.doi.org/10.1007/978-3-319-33153-9

Multivariate analysis with LISREL[electronic resource] /
Joreskog, Karl G.

Multivariate analysis with LISREL[electronic resource] /by Karl G. Joreskog, Ulf H. Olsson, Fan Y. Wallentin. - Cham :Springer International Publishing :2016. - xv, 557 p. :ill., digital ;24 cm. - Springer series in statistics,0172-7397. - 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.

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.

ISBN: 9783319331539

Standard No.: 10.1007/978-3-319-33153-9doiSubjects--Uniform Titles:

LISREL (Computer file)
Subjects--Topical Terms:

673058
Multivariate analysis
--Computer programs.

LC Class. No.: QA278

Dewey Class. No.: 519.535

Multivariate analysis with LISREL[electronic resource] /
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505 0 $a 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.
520 $a 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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