Multivariate analysis with LISREL

• 作者： Joreskog, Karl G., author.
• 其他作者：
  • Olsson, Ulf H., author.
  • Wallentin, Fan Y., author.
  • SpringerLink (Online service)
• 其他題名：
  • Springer series in statistics.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Springer series in statistics,
• 主題： Multivariate analysis--Computer programs. , Statistics. , Statistical Theory and Methods. , Statistics and Computing/Statistics Programs. , Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. , Statistics for Business/Economics/Mathematical Finance/Insurance. , Psychometrics. , Marketing. , LISREL (Computer file)
• ISBN： 9783319331539 (electronic bk.) 、 9783319331522 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 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.
• More
• 摘要註: 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.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: