查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

112-1 324579 多變項統計分析 1 2.0 2 ★ 程聖倫技職所 8 0 博班

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-1	324579	多變項統計分析	1	2.0	2	★	程聖倫	技職所	8	0	博班

教學大綱與進度：

教師姓名程聖倫　教師諮商時間(Office Hours)

Email scheng@ntut.edu.tw

最後更新時間 2023-05-30 17:19:48

課程大綱 This course will focuse on the application of principles of linear modeling in the context of linear regression analysis to exploring questions about mediated (i.e., indirect) and moderated (i.e., interaction) effects. We will spend part of the course talking about partitioning effects into direct and indirect components and how to quantify and test hypotheses about indirect effects, part talking about estimating, testing, and probing interactions in linear models, and part integrating moderation and mediation as “conditional process analysis” by discussing and how to conceptualize and test the contingencies of a mechanism. Computer applications will focus on R using off-the-shelf code and the PROCESS macro available through www.processmacro.org and documented in the text for the course. It is assumed that you have taken a course in multiple regression and have done well or are otherwise comfortable with the principles of multiple regression analysis. No knowledge of matrix algebra is required or assumed.

課程進度 week 1-2: Oview of the course and a gentle introduction to R week 3: Overview and review of regression concepts week 4-6: Statistical mediation analysis week 7-8: Moderation analysis week 9: Mid-term week 10: Moderation analysis week 11-12: Condtional process analysis I week 13-14: Statistical mediation and moderation analysis II week 15-16: Advanced topics in conditional process analysis week 17: That’s a lot to process! Pitfalls of popular path models week 18: Final

評量方式與標準 Attendance 20% Final presentation and report 80%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Course materials will be prepared by the instructor. Optional: Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). The Guilford Press.

課程諮詢管道 The best way to reach out to me is through my email: scheng@ntut.edu.tw. I am happy to speak with you during my office hours (10AM-noon on Mon/Thu)

備註
Google Meet will be used in case in-person classes are suspended due to the pandemic. The instructor will send an invitation link to the whole class in advance.

教師姓名	程聖倫　教師諮商時間(Office Hours)
Email	scheng@ntut.edu.tw
最後更新時間	2023-05-30 17:19:48
課程大綱	This course will focuse on the application of principles of linear modeling in the context of linear regression analysis to exploring questions about mediated (i.e., indirect) and moderated (i.e., interaction) effects. We will spend part of the course talking about partitioning effects into direct and indirect components and how to quantify and test hypotheses about indirect effects, part talking about estimating, testing, and probing interactions in linear models, and part integrating moderation and mediation as “conditional process analysis” by discussing and how to conceptualize and test the contingencies of a mechanism. Computer applications will focus on R using off-the-shelf code and the PROCESS macro available through www.processmacro.org and documented in the text for the course. It is assumed that you have taken a course in multiple regression and have done well or are otherwise comfortable with the principles of multiple regression analysis. No knowledge of matrix algebra is required or assumed.
課程進度	week 1-2: Oview of the course and a gentle introduction to R week 3: Overview and review of regression concepts week 4-6: Statistical mediation analysis week 7-8: Moderation analysis week 9: Mid-term week 10: Moderation analysis week 11-12: Condtional process analysis I week 13-14: Statistical mediation and moderation analysis II week 15-16: Advanced topics in conditional process analysis week 17: That’s a lot to process! Pitfalls of popular path models week 18: Final
評量方式與標準	Attendance 20% Final presentation and report 80%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Course materials will be prepared by the instructor. Optional: Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). The Guilford Press.
課程諮詢管道	The best way to reach out to me is through my email: scheng@ntut.edu.tw. I am happy to speak with you during my office hours (10AM-noon on Mon/Thu)
備註	Google Meet will be used in case in-person classes are suspended due to the pandemic. The instructor will send an invitation link to the whole class in advance.