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Multivariate Analysis with LISREL - Karl G. Jöreskog, Ulf H. Olsson, Fan Y. Wallentin

Multivariate Analysis with LISREL

Buch | Hardcover
XV, 557 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-33152-2 (ISBN)
CHF 209,70 inkl. MwSt
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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.

Karl G. Jöreskog is Professor Emeritus at Uppsala University, Sweden, and Senior Professor at the BI Norwegian School of Business in Oslo. He has received three honorary doctorates: from the Faculty of Economics and Statistics at the University of Padua, Italy, 1993, from the Norwegian School of Economics, Bergen, Norway, 1996, and from the Faculty of Psychology at the Friedrich-Schiller-Universität, Jena, Germany, 2004. Professor Jöreskog is a member of the Swedish Royal Academy of Sciences, a Fellow of the American Statistical Association, and an Honorary Fellow of the Royal Statistical Society. He has received many awards including the American Psychological Association Distinguished Award for the Applications of Psychology and the Psychometric Society Award for Career Achievement to Educational Measurement. Together with Dag Sörbom he developed the LISREL computer program. Ulf H. Olsson is Professor at Department of Economics and Provost at BI Norwegian Business School in Oslo with responsibility for research and academic resources. He has worked on structural equation modeling, statistical modeling and psychometrics and published several research articles in leading statistics and psychometric journals. Dr. Olsson has also authored textbooks on statistics and mathematics. In 2003 Olsson was awarded the BI Norwegian Business School's research prize. Fan Y. Wallentin is Professor of Statistics at Uppsala University, Sweden. She received her Ph.D. in Statistics in 1997. She is a recipient of the Arnberg Prize from the Swedish Royal Academy of Sciences. Dr. Wallentin's program of research is on the theory and applications of latent variable modeling and other types of multivariate statistical analysis, particularly their applications in the social and behavioral sciences. She has published research articles in several leading statistics and psychometrics journals. She has taught courses on Structural Equation Models in Sweden, USA, China and several European countries. She has broad experience in statistical consultation for researchers in social and behavioral sciences.

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 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 inthe 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) 

Erscheinungsdatum
Reihe/Serie Springer Series in Statistics
Zusatzinfo XV, 557 p. 155 illus., 89 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 210 x 279 mm
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Confirmatory factor analysis • Generalized Linear Models • Latent Variables • LISREL • longitudinal data • Marketing • mathematics and statistics • Multilevel analysis • multiple groups • Multivariate Statistical Analysis • Principal Component Analysis • Psychometrics • Regression • statistical software • Statistical Theory and Methods • Statistics and Computing/Statistics Programs • Statistics for Business/Economics/Mathematical Fin • Statistics for Social Science, Behavorial Science, • Structural Equation Modeling
ISBN-10 3-319-33152-3 / 3319331523
ISBN-13 978-3-319-33152-2 / 9783319331522
Zustand Neuware
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