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1、1結構方程模式專題Seminar in Structural Equation ModelingFall 2009 Course Syllabus Department of Business Administration National Central UniversityThe CourseSemester: Fall 2009Course Units: 3.0Time: Tuesday 18:00 20:50Lecture and Lab Room:I1-007Course Type: Lecture, Lab and presentationRestriction: Graduate
2、 students onlyThe Instructor Name: 邱皓政 Hawjeng Chiou, Ph.D.Office: 國立中央大學管理二館 731室Email:hawjengncu.edu.twTel: (O) 03-4227151ext.66178 Mailbox: 桃園縣中壢市中大路 300號企管系Fax: (O)03-2804951Introduction to the courseStructural equation modeling (SEM) is the most important development of statistical methodologyi
3、n socialscience for the past decades. By integrating the factor analysis and path analysis into a comprehensiveanalytic paradigm, SEM can be applied to the applications of evaluation of measurement tool, theoreticalframework, research hypothesis testing, mediation and moderation effect, measurement
4、invariance,cross-validation, and multilevel modeling, etc.This course is particularly designed for the people inmanagement school who need to use SEM to examine the research data. Begin with an overview of theSEM paradigm, along with the introduction of statistical principles and analytic strategies
5、 of SEM. Thegoals of the course are to (a) ensure students to acquire necessary knowledge regarding SEM, (b) enablestudents to recognize the research reports using SEM, and (c) capable students to execute software toanalyze the real data. Some advanced issues will be discussed in the final part of t
6、he course. Prerequisiterequirement and enrolling permit by the lecture are set in advance to ensure the operation of the course.PrerequisitesRequired: The required prerequisite for this course is fundamental statistics (at least 3 units). Students without thesebackgrounds have to consult with the fi
7、rst instructor in advance.Recommended:The recommended prerequisite is computer knowledge and skills.Experience with statisticalpackages (SPSS, SAS, etc.) and computer programming is highly desirable for successful completion of this course.Students without any background in computer use are encourag
8、ed to team up with someone who does.Note: The software used in this course is LISREL8.8 student version(could be downloaded from the LISRELwebsite). The other programs, for example Mplus andAMOS will be also introduced during the class.Licensed software installed in students personal notebook PC are
9、 highly encouraged to bring into theclassroom and would be used in class exercises.2GradingEvaluation of student performance is based on the following criteria:1.Class participation (attendance, class interaction, after-c la s s d is c u s s io n ) 10%2.Paper Review 20%3.Computer lab homeworks30%4.f
10、inal paper 40%AssignmentThis course requires students to conduct some simple lab exercises/homeworks in correspondent to the class materials for appropriate course sections, along with one major final report.Homeworks:Several exercises and take-home works may requested to turn-in. Analysis based on
11、real empirical data is highly encouraged.Final paper:Students have to complete one empirical paper using SEM. Paper has to be prepared in well-structured format (APA) and ready to conference presentation. Results of analyses have to be orally reported in class in final week.Paper reviews:Reviews for
12、 two journal articles for SEM application (in English) have to be done. Reviews must contain the following contents: (1) a short introduction to the paper, including the major statistical tables and figures as well as the statistical procedures and explanations, (2) an evaluation to the paper in ter
13、ms of statistical and methodological sense, particularly in students own words.Textbooks and References 1.邱皓政(2004)。結構方程模式：理論、技術與應用。台北: 雙葉書廊。 2.邱皓政(2008)。潛在類別模式原理與技術。台北: 五南圖書公司。 3.黃芳銘(2002)。結構方程模式理論與應用。台北：五南圖書公司。 4.余民寧(2006)。潛在變項模式：SIMPLIS的應用。台北：高等教育出版。 5.Loehlin,J. C.(2004). Latent variablemodels:A
14、n introductiontofactor,path, and structural equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. 6.Schumacker, R. E. assignment arrangement 課程簡介2 9/22SEM Introduction and data preparation 概說與資料準備Ch1 Aguinis,Herman (2008). Researchin industrial andorganizational psychology from 1963 to 20
15、07: Changes, choices, and trends. Journal of Applied Psychology. 93(5): 1062-1081. 1b General SEMRachna Shah Roger E. Millsap (2000). Doing the Four-Step Right. Structural Equation Modeling, 7, 36-73. 3cKenneth A. Bollen (2000). Modeling Strategies: In Search of the Holy Grail. Structural Equation M
16、odeling, 7, 74-81. 3dPeter M. Bentler (2000). Rites, Wrongs, and Gold in Model Testing. Structural Equation Modeling, 7, 82-91. 3eJerald R. Herting; Herbert L. Costner (2000). Another Perspective on “The Proper Number of Factors“ and the Appropriate Number of Steps. Structural Equation Modeling, 7, 92-110. 3fLeslie A. Hayduk; Dale N. Glaser
