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Multivariate Analysis with LISREL

Multivariate Analysis with LISREL
Catalogue Information
Field name Details
Dewey Class 519.5
Title Multivariate Analysis with LISREL ([EBook]) / by Karl G. Jöreskog, Ulf H. Olsson, Fan Y. Wallentin.
Author Jöreskog, Karl G.
Added Personal Name Olsson, Ulf H. author.
Y. Wallentin, Fan author.
Other name(s) SpringerLink (Online service)
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2016.
Physical Details XV, 557 p. 155 illus., 89 illus. in color. : online resource.
Series Springer Series in Statistics 0172-7397
ISBN 9783319331539
Summary Note 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.:
Contents note 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. .
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-3-319-33153-9
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