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Multivariate analysis with LISREL

Joreskog, Karl G.

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Multivariate analysis with LISREL

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multivariate analysis with LISREL/ by Karl G. Joreskog, Ulf H. Olsson, Fan Y. Wallentin.
作者:	Joreskog, Karl G.
其他作者:	Olsson, Ulf H.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xv, 557 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Multivariate analysis - Computer programs. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-33153-9
ISBN:	9783319331539

Multivariate analysis with LISREL
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:

1067546
Multivariate analysis
--Computer programs.

LC Class. No.: QA278

Dewey Class. No.: 519.535

Multivariate analysis with LISREL
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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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