結構方程模式研究

課程內容介紹, Course Contents: This course will provide you with an introduction to the theory and application of structural equation models. Structural equation models are a class of statistical techniques that incorporate regression analysis, path analysis, confirmatory factor analysis, and full scale models incorporating both measurement and structural components. These techniques are useful for both experimental and non-experimental data; for cross-sectional datasets; for multiple-group comparisons; and for longitudinal datasets, including the modeling of growth curves. 課程目標, Course Goals: There are four major goals of this course: to understand the concepts related to Structural Equation Modeling; to be able to specify your own models and analyze the data using one of the SEM programs; to be able to interpret the statistical findings to lay persons. We will be using the SEM software program including LISREL, MPLUS, and AMOS to perform the statistical analyses

Students are expected to have some basic knowledge on ANOVA, Multiple Regression, and Multivariate Data Analysis. Students who have not taken the required courses have to meet with me before they register for this course.

TBA

課程評分方式, Grading: Grades will be based on the following: a) Participation (10%, come to class, look very happy, and talk about statistical models; go to facebook and share what you thought) b) Assignments (60%) c) Final in-class presentation (30%) Note: You are encouraged to work with other students on the assignments. You will work with (maximum) two partners (i.e., 3 students per group) on the final presentation. You may analyze your own data or data which have been collected by other individual (as long as that individual has not analyzed the data addressing the same research questions you are attempting to answer). The final presentation (15-20 minutes) should include the following four sections: introduction, method, results, and discussion. You should apply the SEM techniques you learn from this course to your final project. Your group should schedule a meeting with me to talk about your final presentation at least two weeks before the date of the final presentation.

• 課程簡介
• Path model II
• Measurement models, exploratory and confirmatory factor analysis
• Putting together: models with both measurement and structural components
• More models
• Multiple group comparison, mean structure in SEM
• Mean structure in SEM II, measurement invariance
• Advanced topics

教科書, Textbooks: Class handouts will be distributed in each class. Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th Ed.). New York, NY: Guilford. [Required] 參考書, Reference: 1. Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. New York, NY: Guilford. [Optional] 2. Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: Wiley. [Optional] 3. Kaplan, D. (2009). Structural Equation Modeling: Foundations and Extensions (2nd Ed.). Thousand Oaks, CA: Sage. [Optional]

地點

HA202B

時間

TBA

聯絡方式

分機: 31843 Email: jiunyuwu@mail.nctu.edu.tw 若需當面討論,請事先以Email或電話預約時間。