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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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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.

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"This is book presents all options of the latest version of Lisrel in terms of concise theoretical introductions followed by applications to empirical data. ... It was a pleasure to read this book because of its style of presentation in terms of many empirical examples and interesting plots." (Peter C. M. Molenaar, Structural Equation Modeling, Vol. 26 (2), 2019)

"This book consists of 10 chapters and 7 appendices covering introductory and advanced topics in multivariate analysis. The book is primarily suitable for MS and Ph.D. students in the areas of social and behavioral sciences, economists, and researchers in the field. ... this book covers a large number of introductory and advanced multivariate statistical topics suitable for students in graduate programs and researchers in social and behavioral sciences, and economics disciplines." (Morteza Marzjarani, Technometrics, Vol. 59 (4), November, 2017)
"This book presents topics in multivariate statistics in ten chapters. ... audience for the book are researchers and graduate students in social sciences, public health, education, psychology, economics, and management. Because the book takes on a practical approach to multivariate statistics with numerous examples, graduate students will find an excellent source for hands-on practice. ... The inclusion of numerous color plots and graphics and a very clear and personal expository language make this book a friendly companion to advanced statistics." (Abdolvahab Khademi, Journal of Statistical Software, Vol. 78, June, 2017)

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