By the end of this course, students should be able to understand:
1.Factor Analysis (Exploratory vs. Confirmatory factor analysis)
2.Path analysis (causal models)
3.Structural equation modeling (using statistical software packages and interpret the results properly )Students will learn the concept of multivariate analysis and also how to use software to undertake these analyses. After attending the course, students should be able to describe the relationship between commonly used statistical methods and structural equation modeling (SEM); define the statistical concepts behind factor analysis, path analysis, and structural equation modeling; explain the above statistical methods and properly interpret their results.

By the end of this course, students should be able to understand:
1.Factor Analysis (Exploratory vs. Confirmatory factor analysis)
2.Path analysis (causal models)
3.Structural equation modeling (using statistical software packages and interpret the results properly )Students will learn the concept of multivariate analysis and also how to use software to understand these analysis. After attending the course, students should be able to describe the relationship between commonly used statistical methods and structural equation modeling (SEM); define the statistical concepts behind factor analysis, path analysis, and structural equation modeling; explain the above statistical methods and properly interpret their results.

1.吳明隆，結構方程模式方法與實務應用，麗文文化
2.豊田秀樹，結構方程模式分析 AMOS，鼎茂圖書出版
3.結構方程模式的基本原理，麗文文化
4. 蕭文龍 ，統計分析SPSS中文版+PLS_SEM(SmartPLS)，碁峰。

1. Wu Minglong, model method and practical application of structure equations, Liwen Culture
2. Xishu, Analysis of structure equation pattern AMOS, published by Dingmao Book
3. The basic principles of structural equation model, Liwen Culture
4. Li Wenlong, statistical analysis SPSS Chinese version +PLS_SEM (SmartPLS), Qifeng.