| 課程大綱Course Description： |
| Based on the view of multivariate data, the purpose of this course is to introduce several analysis methods and empirical applications. Course contents concern with statistical methods designed to elicit information, data reduction, sorting and group similar objects or structural simplification from the data sets include simultaneous measurements on many variables. Through the explanation of empirical problems in business, several applications of multivariate techniques will be introduced like as ANOVA, ANCOVA, MANOVA, Principal Components Analysis, Exploratory Factor Analysis (EFA), Multiple Regression Analysis, Multiple Discrimination analysis, Logistic Regression, Conjoint Analysis, Multidimensional Scaling Method (MDS), Clustering Analysis, Analyzing Nominal Data with Correspondence Analysis, Confirmatory Factor Analysis (CFA), and Testing Structural Equations Models. Achievingthe objectives of this course contributes construction of research structure and interpretation of analyses results. |
| English Outline： |
| Based on the view of multivariate data, the purpose of this course is to introduce several analysis methods and empirical applications. Course contents concern with statistical methods designed to elicit information, data reduction, sorting and group similar objects or structural simplification from the data sets include simultaneous measurements on many variables. Through the explanation of empirical problems in business, several applications of multivariate techniques will be introduced like as ANOVA, ANCOVA, MANOVA, Principal Components Analysis, Exploratory Factor Analysis (EFA), Multiple Regression Analysis, Multiple Discrimination analysis, Logistic Regression, Conjoint Analysis, Multidimensional Scaling Method (MDS), Clustering Analysis, Analyzing Nominal Data with Correspondence Analysis, Confirmatory Factor Analysis (CFA), and Testing Structural Equations Models. Achievingthe objectives of this course contributes construction of research structure and interpretation of analyses results. |
| 本科目教學目標Course Objectives： |
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