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課程名稱 |
結構方程模組
Structural Equation Modeling |
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開課學期 |
108-2 |
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授課對象 |
生物資源暨農學院 生物產業傳播暨發展學研究所 |
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授課教師 |
周志秉 |
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課號 |
BICD8034 |
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課程識別碼 |
630ED3140 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
第1,2,3,4,5,6,7,8,9 週
星期一2,3,4(9:10~12:10)星期四2,3,4(9:10~12:10) |
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上課地點 |
生傳402室生傳418室 |
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備註 |
本課程以英語授課。密集課程。學生需俱備回歸分析(regressionanalysis)之能力。
總人數上限：12人 |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
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). |
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課程目標 |
Learning Objectives
1.Understand the concepts of latent, or unobservable, variables in social science research.
2.Understand fundamental concepts and basic statistical theories of structural equation modeling (SEM).
3.Understand the application, assumptions, strengths, and limitations of SEM.
4.Present research questions and hypotheses with conceptual and analytical model.
5.Link research process through the development of conceptual model.
6.Link substantive theories with empirical data.
7.Learn the correct specification of structural equation model for model evaluation and estimation.
8.Obtain hand-on experience conducting analyses using EQS and SAS/CALIS programs.
9.Develop efficient SEM programming skills.
10.Adequately present and interpret the results of SEM.
11.Conduct independently statistical analyses.
12.Develop manuscripts using structural equation modeling technique |
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課程要求 |
Homework assignments and term paper must be turned in on the due dates. Late assignments will require approval from the instructor and points will be deducted. |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Required：
A. Byrne, B. M. (2006). Structural Equation modeling with EQS: Basic Concepts, Applications and Programming, 2nd Edition. New York: Psychology Press.
B. Kline, R. (2015). Principles and Practice of Structural Equation Modeling, 4th Edition. New York, NY: The Guilford Press.
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參考書目 |
Bollen, K. A. (1989). Structural Equations with latent variables. Wiley. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework |
90% |
There will be 10 homework assignments |
2. |
Participation |
10% |
Students are expected to participate in discussion and are required to attend all the presentations at the end of the semester. |
3. |
Presentation |
0% |
[EXTRA CREDIT] Students are encouraged to give a 30-minute presentation on the application of SEM using their own empirical data sets. |
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週次 |
日期 |
單元主題 |
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第1週 |
3/02,3/05 |
[3/02] course online, introduction to the aim and scope, assignment and grading for this class. Basic concepts of vector, matrix algebra, and association
[3/05] Matrix and Geometrical representation of association |
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第2週 |
3/09,3/12 |
[3/09] Exploratory Factor Analysis I
[3/12] Exploratory Factor Analysis II |
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第3週 |
3/16,3/19 |
[3/16] EQS Model and Model Specification
[3/19] EQS Programming Lab |
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第4週 |
3/23,3/26 |
[3/23] CALIS and Mplus software
[3/26] Model Identification & Estimation |
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第5週 |
3/30,4/02 |
[3/30] Model Testing & Mediation Analysis
[4/02] No class |
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第6週 |
4/06,4/09 |
NO CLASSES
Prepare abstract and work on your models
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第7週 |
4/13,4/16 |
NO CLASSES
Prepare abstract and work on your models
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第8週 |
4/20,4/23 |
[4/20] Model Modification, Multitrait-Multimethod model
[4/23] Moment matrix & Moderation Effects |
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第9週 |
4/27,4/30 |
[4/27] Moderation Effects and Multiple-group approach
[4/30] Growth Curve Model 1 |
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第10週 |
5/04,5/07 |
[5/04] Growth Curve Model 2
[5/07] LISREL, Questions on EQS setup for model evaluation |
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第11週 |
5/11,5/14 |
[5/11] Class Presentations |
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