The aim of this course is to provide a general introduction to path analysis, factor analysis, structural equation modeling and multivariate analysis.
The course will start with basic concepts of multivariate data analysis. Then, more advanced topics will be introduced, such as model specification, fitness testing, interpretation of causality and model modification.

By the end of this course, students should be able to:
• Describe the relations between general linear models and structural equation models
• Explain the statistical theory of principal component analysis, exploratory and confirmatory factor analysis, path analysis and structural equation models
• Understand the concepts and rationales of causal models within the framework of structural equation models
• Undertake structural equation modeling using statistical software packages and interpret the results properly

The aim of this course is to provide a general introduction to path analysis, factor analysis, structural equation modeling and multivariate analysis.
The course will start with basic concepts of multivariate data analysis. Then, more advanced topics will be introduced, such as model specification, fitness testing, interpretation of causeality and model modification.

By the end of this course, students should be able to:
• Describe the relationships between general linear models and structural equation models
• Explain the statistical theory of principal component analysis, exploration and confirmatory factor analysis, path analysis and structural equation models
• Understand the concepts and rationales of causal models within the framework of structural equation models
• Undertake structural equation modeling using statistical software packages and interpret the results properly

Journal articles
吳明隆，結構方程模式方法與實務應用，麗文文化
豊田秀樹，結構方程模式分析 AMOS，鼎茂圖書出版

Journal articles
Wu Minglong, Constructing equation pattern method and practical application, Liwen Culture
Xishu, Structural equation pattern analysis AMOS, Dingmao Book Published