內容簡介
內容簡介 The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
產品目錄
產品目錄 Ch 1 Overview of Multivariate MethodsSECTION I: PREPARING FOR MULTIVARIATE ANALYSISCh 2 Examining Your DataSECTION II: INTERDEPENDENCE TECHNIQUESCh 3 Exploratory Factor AnalysisCh 4 Cluster AnalysisSECTION III: DEPENDENCE TECHNIQUES-METRIC OUTCOMESCh 5 Multiple Regression AnalysisCh 6 MANOVA: Extending ANOVASECTION IV: DEPENDENCE TECHNIQUES-NON-METRIC OUTCOMESCh 7 Multiple Discriminant AnalysisCh 8 Logistic Regression: Regression with a Binary Dependent VariableSECTION V: MOVING BEYOND THE BASICSCh 9 Structural Equation Modeling: An IntroductionCh10 SEM: Confirmatory Factor AnalysisCh11 Testing Structural Equation ModelsCh12 Advanced SEM TopicsCh13 Partial Least Squares Structural Equation Modeling (PLS-SEM)