使學生學習到目前在社會與健康行為科學領域的研究上，常被應用的統計知識與分析技巧--「因素分析 (Factor Analysis)」及「結構方程模式(Structural Equation Modeling)」。課程內容包括理論基礎和統計軟體的操作部份，此兩個統計技術是用來分析觀察變項衍生之潛在變項(latent variables)間及與潛在變項間之關係，也是用來驗證理論和修正理論以符合實證資料之重要知識。
This course will deal with the statistical techniques for factor analysis and structural equation modeling. Both factor analysis (FA) and structural equation model (SEM) are multivariate statistical techniques to analyze association among multiple measures through latent variables (or constructs, factors). Students are expected to have basic understanding of the concepts and applications both FA and SEM and to be able to specify structural equation models for their own research.
先修科目Prerequisites
教學方式Teaching Methods
評量方式Assessment
出席率(10%)、討論(30%)、報告&作業(60%)
參考書目Reference
1.Byrne, B. M. (2006). Structural Equation modeling with EQS: Basic Concepts, Applications and Programming, 2nd Edition. New York: Psychology Press.
2.Kline, R. (2010). Principles and Practice of Structural Equation Modeling, 3rd Edition. New York, NY: The Guilford Press.
The SAS program will be used for the exploratory factor Analysis (EFA). The EQS program (Bentler, 1995) will be used for confirmatory factor analysis (CFA) and SEM.
教學進度Course Schedule
2013/07/01 結構方程式的基本概念(周志秉老師)
Basic Concepts of SEM
2013/07/02 相關性的幾何學表徵(周志秉老師)
Geometrical Representation of Association
2013/07/03 EQS程式介紹(周志秉老師)
EQS program
2013/07/04 迴歸與路徑模式(周志秉老師)
Regression and path model
2013/07/05 探索型因素分析(周志秉老師)
Exploratory Factor Analysis
2013/07/08 模式界定和模式辨識(周志秉老師)
Model Specification and Identification
2013/07/09 模型評估與修飾(周志秉老師)
Model Evaluation and Modification
2013/07/10 中介效果(周志秉老師)
Mediation Effect
2013/07/11 修飾效果(周志秉老師)
Moderation Effect
2013/07/12 資料操作與進階 SEM 分析之討論(周志秉老師)
Project Discussion/Advanced SEM Topics