課程資訊
課程名稱
結構方程模型
Structural Equation Models 
開課學期
101-2 
授課對象
理學院  心理學研究所  
授課教師
翁儷禎 
課號
Psy7163 
課程識別碼
227 M8000 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三2,3,4(9:10~12:10) 
上課地點
南館S217 
備註
開放大學部修課。
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1012Psy7163 
課程簡介影片
 
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課程概述

2/20 Course Introduction
2/27 From Correlation to SEM: MR, PA, CFA
3/06 Data Preparation
3/13 From Diagram, Notation, & Equations to Matrix
SEM Basics / JKW and B-W Models
3/20 Specification: Models & Software
3/27 Identification
4/03 Holiday
4/10 Estimation & Statistical Theory
4/17 Evaluation of Models (Bring outputs to class)
4/24 Fit Index / Model Modification / Reporting SEM
5/1 Multi-Sample SEM
Mean Structure & Latent Growth Curve Model
5/8 Multi-level SEM / Interaction + mediation effect
5/15 Presentation 1: Introductory papers on SEM
5/22 Presentation 2: Examples (reanalysis)
5/29 Presentation 3: Applications
6/5 Final exam (or 6/19)
6/12 Holiday
 

課程目標
1. To understand the principles and theories of structural equation modeling
2. To apply structural equation modeling method to simulated and real data
3. To be familiar with selected SEM software programs
 
課程要求
 
預期每週課後學習時數
 
Office Hours
每週一 16:30~17:30
每週二 16:30~17:30 
指定閱讀
Selected Books on SEM
* Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
Bollen, K. A., & Long, J. S. (Eds.). (1993). Testing structural equation models. Newbury Park, CA: Sage.
Hancock, G. R., & Mueller, R. O. (2006). Structural equation modeling: A second course. Greenwich, Conn: IAP – Information Age Publishing.
# Kaplan, D. (2008). Structural equation modeling: Foundations and extensions (2nd ed.). Thousand Oaks, CA: Sage.
* Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford. (Ch13: How to fool yourself with SEM)
Loehlin, J. C. (2004). Latent variable models: An introduction to factor, path, and structural equation analysis (4th ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
* Long, J. S. (1983). Covariance structure model: An introduction to LISREL. Beverly Hills, CA: Sage.
# Raykov, T., & Marcoulides, G.A. (2006). A first course in structural equation modeling (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
# Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling (3rd ed.). New York: Routledge.

Selected Articles
Hershberger, S. L. (2003). The growth of structural equation modeling: 1994-2001. Structural Equation Modeling, 10, 35-46.
Steiger, J. H. (2001). Driving fast in reverse: The relationship between software development, theory, and education in structural equation modeling. Journal of the American Statistical Association, 96, 331-338.
Mueller, R. O. (1997). Structural equation modeling: Back to basics. Structural Equation Modeling, 4, 353-369.
Cliff, N. (1983). Some cautions concerning the application of causal modeling methods. Multivariate Behavioral Research, 18, 115-126.
 
參考書目
Bollen, K. A. (1989). Structural equations with latent variables. New York:
Wiley.
Kline, R. B. (2011). Principles and practice of structural equation modeling
(3rd ed.). New York: Guilford. (Ch13: How to fool yourself with SEM)
Long, J. S. (1983). Covariance structure model: An introduction to LISREL.
Beverly Hills, CA: Sage.
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
作業 
35% 
 
2. 
Introductory Paper 
10% 
 
3. 
Example 
10% 
 
4. 
Application 
15% 
 
5. 
Final Exam 
30% 
 
 
課程進度
週次
日期
單元主題
第1週
2/20  Course Introduction 
第2週
2/27  From Correlation to SEM: MR, PA, CFA 
第3週
3/06  Data Preparation  
第4週
3/13  From Diagram, Notation, & Equations to Matrix
SEM Basics / JKW and B-W Models
 
第5週
3/20  Specification: Models & Software  
第6週
3/27  Identification 
第7週
4/03  Holiday 
第8週
4/10  Estimation & Statistical Theory 
第9週
4/17  Evaluation of Models (Bring outputs to class) 
第10週
4/24  Fit Index / Model Modification / Reporting SEM 
第11週
5/01  Multi-Sample SEM
Mean Structure & Latent Growth Curve Model 
第12週
5/08  Multi-level SEM / Interaction + mediation effect 
第13週
5/15  Presentation 1: Introductory Papers on SEM 
第14週
5/22  Presentation 2: Example (Reanalysis) 
第15週
5/29  Presentation 3: Applications 
第16週
6/05  Final exam (or 6/19)  
第17週
6/12  Holiday